Condition-Based Diagnosis of Mechatronic Systems Using a Fractional Calculus Approach

While fractional calculus (FC) is as old as integer calculus, its application has been mainly restricted to mathematics. However, many real systems are better described using FC equations than with integer models. FC is a suitable tool for describing systems characterised by their fractal nature, long-term memory and chaotic behaviour. It is a promising methodology for failure analysis and modelling, since the behaviour of a failing system depends on factors that increase the model’s complexity. This paper explores the proficiency of FC in modelling complex behaviour by tuning only a few parameters. This work proposes a novel two-step strategy for diagnosis, first modelling common failure conditions and, second, by comparing these models with real machine signals and using the difference to feed a computational classifier. Our proposal is validated using an electrical motor coupled with a mechanical gear reducer.

El nuevo escenario global y un modelo de negocio para la industria naval militar del 2025

Los retos y oportunidades a los que se enfrentan las organizaciones y administraciones de las primeras décadas del siglo XXI se caracterizan por una serie de fuerzas perturbadoras como la globalización, el avance de las tecnologías emergentes y el desequilibrio económico, que están actuando como impulsores de la transformación del mercado. La acción conjunta de estos factores está obligando a todas las empresas industriales a tener que trabajar con mayores y más exigentes niveles de productividad planteándose continuamente como mejorar y lograr satisfacer los requerimientos de los clientes. De esta situación surge la necesidad de volver a plantearse de nuevo ¿quién es el cliente?, ¿qué valora el cliente? y ¿cómo se pueden generan beneficios sostenibles? La aplicación de esta reflexión a la industria naval militar marca los objetivos a los que esta tesis doctoral busca dar respuesta. El primer objetivo, de carácter general, consiste en la definición de un modelo de negocio sostenible para la industria naval militar del 2025 que se adapte a los requisitos del cliente y al nuevo escenario político, económico, social, tecnológico y ambiental que rodea esta industria. El segundo objetivo, consecuencia del modelo general, trata de desarrollar una metodología para ejecutar programas de apoyo al ciclo de vida del “buque militar”. La investigación se estructura en cuatro partes: en la primera se justifica, por un lado, la necesidad del cambio de modelo y por otro se identifican los factores estructurantes para la definición del modelo. La segunda parte revisa la literatura existente sobre uno de los aspectos básicos para el nuevo modelo, el concepto Producto-Servicio. La tercera parte se centra totalmente en la industria naval militar estudiando los aspectos concretos del sector y, en base al trabajo de campo realizado, se identifican los puntos que más valoran las Marinas de Guerra y como estas gestionan al buque militar durante todo su ciclo de vida. Por último se presentan los principios del modelo propuesto y se desarrollan los pilares básicos para la ejecución de proyectos de Apoyo al Ciclo de Vida (ACV). Como resultado de la investigación, el modelo propuesto para la industria naval militar se fundamenta en once principios: 1. El buque militar (producto de alto valor añadido) debe ser diseñado y construido en un astillero del país que desarrolla el programa de defensa. 2. El diseño tiene que estar orientado al valor para el cliente, es decir, se tiene que diseñar el buque militar para que cumpla su misión, eficaz y eficientemente, durante toda su vida operativa, asegurando la seguridad del buque y de las personas y protegiendo el medio ambiente de acuerdo con las regulaciones vigentes. 3. La empresa debe suministrar soluciones integrales de apoyo al ciclo de vida al producto. 4. Desarrollar y mantener las capacidades de integración de sistemas complejos para todo el ciclo de vida del buque militar. 5. Incorporar las tecnologías digitales al producto, a los procesos, a las personas y al propio modelo de negocio. 6. Desarrollar planes de actuación con el cliente domestico a largo plazo. Estos planes tienen que estar basados en tres premisas: (i) deben incluir el ciclo de vida completo, desde la fase de investigación y desarrollo hasta la retirada del buque del servicio; (ii) la demanda debe ser sofisticada, es decir las exigencias del cliente, tanto desde la óptica de producto como de eficiencia, “tiran” del contratista y (iii) permitir el mantenimiento del nivel tecnológico y de las capacidades industriales de la compañía a futuro y posicionarla para que pueda competir en el mercado de exportación. 7. Impulsar el sector militar de exportación mediante una mayor actividad comercial a nivel internacional. 8. Fomentar la multilocalización ya que representa una oportunidad de crecimiento y favorece la exportación posibilitando el suministro de soluciones integrales en el país destino. 9. Reforzar la diplomacia institucional como palanca para la exportación. 10. Potenciar el liderazgo tecnológico tanto en producto como en procesos con políticas activas de I + D+ i. 11. Reforzar la capacidad de financiación con soluciones innovadoras. El segundo objetivo de esta tesis se centra en el desarrollo de soluciones integrales de Apoyo al Ciclo de Vida (ACV). La metodología planteada trata de minimizar la brecha entre capacidades y necesidades a lo largo de la vida operativa del barco. Es decir, el objetivo principal de los programas de ACV es que la unidad conserve durante toda su vida operativa, en términos relativos a las tecnologías existentes, las capacidades equivalentes a las que tendrá cuando entre en servicio. Los ejes de actuación para conseguir que un programa de Apoyo al Ciclo de Vida cumpla su objetivo son: el diseño orientado al valor, la ingeniería de Apoyo al Ciclo de Vida, los proyectos de refresco de tecnología, el mantenimiento Inteligente y los contratos basados en prestaciones. ABSTRACT On the first decades of the 21st century, organizations and administrations face challenges and come across opportunities threatened by a number of disruptive forces such as globalization, the ever-changing emerging technologies and the economic imbalances acting as drivers of the market transformation. This combination of factors is forcing all industrial companies to have more and higher demanding productivity levels, while bearing always in mind how to improve and meet the customer’s requirements. In this situation, we need to question ourselves again: Who is the customer? What does the customer value? And how can we deliver sustainable economic benefits? Considering this matter in a military naval industry framework sets the goals that this thesis intends to achieve. The first general goal is the definition of a new sustainable business model for the 2025 naval industry, adapted to the customer requirements and the new political, economic, social, technological and environmental scenario. And the second goal that arises as a consequence of the general model develops a methodology to implement “warship” through life support programs. The research is divided in four parts: the first one justifies, on the one hand, the need to change the existing model and, on the other, identifies the model structural factors. On the second part, current literature regarding one of the key issues on the new model (the Product-Service concept) is reviewed. Based on field research, the third part focuses entirely on military shipbuilding, analyzing specific key aspects of this field and identifying which of them are valued the most by Navies and how they manage through life cycles of warships. Finally, the foundation of the proposed model is presented and also the basic grounds for implementing a Through Life Support (TLS) program are developed. As a result of this research, the proposed model for the naval industry is based on eleven (11) key principles: 1. The warship (a high added value product) must be designed and built in a shipyard at the country developing the defense program. 2. Design must be customer value oriented, i.e.warship must be designed to effectively fulfill its mission throughout its operational life, ensuring safety at the ship and for the people and protecting the environment in accordance with current regulations. 3. The industry has to provide integrated Through Life Support solutions. 4. Develop and maintain integrated complex systems capabilities for the entire warship life cycle. 5. Introduce the product, processes, people and business model itself to digital technologies. 6. Develop long-term action plans with the domestic customer. These plans must be based on three premises: (i) the complete life cycle must be included, starting from the research and development stage throughout the ship’s disposal; (ii) customer demand has to be sophisticated, i.e. customer requirements, both from the efficiency and product perspective, "attract" the contractor and (iii) technological level and manufacturing capabilities of the company in the future must be maintained and a competitive position on the export market has to be achieved. 7. Promote the military exporting sector through increased international business. 8. Develop contractor multi-location as it entails an opportunity for growth and promote export opportunities providing integrated solutions in the customer's country. 9. Strengthen institutional diplomacy as a lever for export. 10. Promote technological leadership in both product and processes with active R & D & I policies (Research & Development & Innovation) 11. Strengthen financing capacity through innovative solutions. The second goal of this thesis is focused on developing integrated Through Life Support (TLS) solutions. The proposed methodology tries to minimize the gap between needs and capabilities through the ship operational life. It means, the main TLS program objective is to maintain the ship’s performance and capabilities during operational life, in relative terms to current technologies, equivalent to those the ship had when it entered service. The main actions to fulfill the TLS program objectives are: value-oriented design, TLS engineering, technology updating projects, intelligent maintenance and performance based contracts.

Applications of artificial intelligence to condition-based maintenance

In this paper we discuss interesting developments of expert systems for machine diagnosis and condition-based maintenance. We review some elements of condition-based maintenance and its applications, expert systems for machine diagnosis, and an example of machine diagnosis. In the last section we note some problems to be resolved so that expert systems for machine diagnosis may gain wider acceptance in the future.

Scheduling maintenance activities of electric power transmission networks using an hybrid constraint method

In this paper we present a Constraint Logic Programming (CLP) based model, and hybrid solving method for the Scheduling of Maintenance Activities in the Power Transmission Network. The model distinguishes from others not only because of its completeness but also by the way it models and solves the Electric Constraints. Specifically we present a efficient filtering algorithm for the Electrical Constraints. Furthermore, the solving method improves the pure CLP methods efficiency by integrating a type of Local Search technique with CLP. To test the approach we compare the method results with another method using a 24 bus network, which considerers 42 tasks and 24 maintenance periods.

A high level e-maintenance architecture to support on-site teams

Emergent architectures and paradigms targeting reconfigurable manufacturing systems increasingly rely on intelligent modules to maximize the robustness and responsiveness of modern installations. Although intelligent behaviour significantly minimizes the occurrence of faults and breakdowns it does not exclude them nor can prevent equipment’s normal wear. Adequate maintenance is fundamental to extend equipments’ life cycle. It is of major importance the ability of each intelligent device to take an active role in maintenance support. Further this paradigm shift towards “embedded intelligence”, supported by cross platform technologies, induces relevant organizational and functional changes on local maintenance teams. On the one hand, the possibility of outsourcing maintenance activities, with the warranty of a timely response, through the use of pervasive networking technologies and, on the other hand, the optimization of local maintenance staff are some examples of how IT is changing the scenario in maintenance. The concept of e-maintenance is, in this context, emerging as a new discipline with defined socio-economic challenges. This paper proposes a high level maintenance architecture supporting maintenance teams’ management and offering contextualized operational support. All the functionalities hosted by the architecture are offered to the remaining system as network services. Any intelligent module, implementing the services’ interface, can report diagnostic, prognostic and maintenance recommendations that enable the core of the platform to decide on the best course of action.

Intelligent Distributed Environmental Decision Support System

This article discusses the development of an Intelligent Distributed Environmental Decision Support System, built upon the association of a Multi-agent Belief Revision System with a Geographical Information System (GIS). The inherent multidisciplinary features of the involved expertises in the field of environmental management, the need to define clear policies that allow the synthesis of divergent perspectives, its systematic application, and the reduction of the costs and time that result from this integration, are the main reasons that motivate the proposal of this project. This paper is organised in two parts: in the first part we present and discuss the developed Distributed Belief Revision Test-bed — DiBeRT; in the second part we analyse its application to the environmental decision support domain, with special emphasis on the interface with a GIS.

Intelligent Remuneration and Tariffs for Virtual Power Players

Power systems have been through deep changes in recent years, namely due to the operation of competitive electricity markets in the scope the increasingly intensive use of renewable energy sources and distributed generation. This requires new business models able to cope with the new opportunities that have emerged. Virtual Power Players (VPPs) are a new type of player that allows aggregating a diversity of players (Distributed Generation (DG), Storage Agents (SA), Electrical Vehicles (V2G) and consumers) to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players’ benefits. A major task of VPPs is the remuneration of generation and services (maintenance, market operation costs and energy reserves), as well as charging energy consumption. This paper proposes a model to implement fair and strategic remuneration and tariff methodologies, able to allow efficient VPP operation and VPP goals accomplishment in the scope of electricity markets.

Flexible multibody dynamics and intelligent control of a hydraulically driven hybrid redundant robot machine

The assembly and maintenance of the International Thermonuclear Experimental Reactor (ITER) vacuum vessel (VV) is highly challenging since the tasks performed by the robot involve welding, material handling, and machine cutting from inside the VV. The VV is made of stainless steel, which has poor machinability and tends to work harden very rapidly, and all the machining operations need to be carried out from inside of the ITER VV. A general industrial robot cannot be used due to its poor stiffness in the heavy duty machining process, and this will cause many problems, such as poor surface quality, tool damage, low accuracy. Therefore, one of the most suitable options should be a light weight mobile robot which is able to move around inside of the VV and perform different machining tasks by replacing different cutting tools. Reducing the mass of the robot manipulators offers many advantages: reduced material costs, reduced power consumption, the possibility of using smaller actuators, and a higher payload-to-robot weight ratio. Offsetting these advantages, the lighter weight robot is more flexible, which makes it more difficult to control. To achieve good machining surface quality, the tracking of the end effector must be accurate, and an accurate model for a more flexible robot must be constructed. This thesis studies the dynamics and control of a 10 degree-of-freedom (DOF) redundant hybrid robot (4-DOF serial mechanism and 6-DOF 6-UPS hexapod parallel mechanisms) hydraulically driven with flexible rods under the influence of machining forces. Firstly, the flexibility of the bodies is described using the floating frame of reference method (FFRF). A finite element model (FEM) provided the Craig-Bampton (CB) modes needed for the FFRF. A dynamic model of the system of six closed loop mechanisms was assembled using the constrained Lagrange equations and the Lagrange multiplier method. Subsequently, the reaction forces between the parallel and serial parts were used to study the dynamics of the serial robot. A PID control based on position predictions was implemented independently to control the hydraulic cylinders of the robot. Secondly, in machining, to achieve greater end effector trajectory tracking accuracy for surface quality, a robust control of the actuators for the flexible link has to be deduced. This thesis investigates the intelligent control of a hydraulically driven parallel robot part based on the dynamic model and two schemes of intelligent control for a hydraulically driven parallel mechanism based on the dynamic model: (1) a fuzzy-PID self-tuning controller composed of the conventional PID control and with fuzzy logic, and (2) adaptive neuro-fuzzy inference system-PID (ANFIS-PID) self-tuning of the gains of the PID controller, which are implemented independently to control each hydraulic cylinder of the parallel mechanism based on rod length predictions. The serial component of the hybrid robot can be analyzed using the equilibrium of reaction forces at the universal joint connections of the hexa-element. To achieve precise positional control of the end effector for maximum precision machining, the hydraulic cylinder should be controlled to hold the hexa-element. Thirdly, a finite element approach of multibody systems using the Special Euclidean group SE(3) framework is presented for a parallel mechanism with flexible piston rods under the influence of machining forces. The flexibility of the bodies is described using the nonlinear interpolation method with an exponential map. The equations of motion take the form of a differential algebraic equation on a Lie group, which is solved using a Lie group time integration scheme. The method relies on the local description of motions, so that it provides a singularity-free formulation, and no parameterization of the nodal variables needs to be introduced. The flexible slider constraint is formulated using a Lie group and used for modeling a flexible rod sliding inside a cylinder. The dynamic model of the system of six closed loop mechanisms was assembled using Hamilton’s principle and the Lagrange multiplier method. A linearized hydraulic control system based on rod length predictions was implemented independently to control the hydraulic cylinders. Consequently, the results of the simulations demonstrating the behavior of the robot machine are presented for each case study. In conclusion, this thesis studies the dynamic analysis of a special hybrid (serialparallel) robot for the above-mentioned special task involving the ITER and investigates different control algorithms that can significantly improve machining performance. These analyses and results provide valuable insight into the design and control of the parallel robot with flexible rods.

A sensor based intelligent building assessment model

While building provides shelter for human being, the previous models for assessing the intelligence of a building seldom consider the responses of occupants. In addition, the assessment is usually conducted by an authority organization on a yearly basis, thus can seldom provide timely assistance for facility manager to improve his daily facility maintenance performance. By the extending the law of entropy into the area of intelligent building, this paper demonstrate that both energy consumption and the response of occupants are important when partially assessing the intelligence of a building. This study then develops a sensor based real time building intelligence (BI) assessment model. An experimental case study demonstrates how the model can be implemented. The developed model can address the two demerits of the previous BI assessment model.

Improving aircraft maintenance, repair, and overhaul: A novel text mining approach

Aircraft Maintenance, Repair and Overhaul (MRO) feedback commonly includes an engineer’s complex text-based inspection report. Capturing and normalizing the content of these textual descriptions is vital to cost and quality benchmarking, and provides information to facilitate continuous improvement of MRO process and analytics. As data analysis and mining tools requires highly normalized data, raw textual data is inadequate. This paper offers a textual-mining solution to efficiently analyse bulk textual feedback data. Despite replacement of the same parts and/or sub-parts, the actual service cost for the same repair is often distinctly different from similar previously jobs. Regular expression algorithms were incorporated with an aircraft MRO glossary dictionary in order to help provide additional information concerning the reason for cost variation. Professional terms and conventions were included within the dictionary to avoid ambiguity and improve the outcome of the result. Testing results show that most descriptive inspection reports can be appropriately interpreted, allowing extraction of highly normalized data. This additional normalized data strongly supports data analysis and data mining, whilst also increasing the accuracy of future quotation costing. This solution has been effectively used by a large aircraft MRO agency with positive results.

Using Electronic Documents for Knowledge Acquisition and Model Maintenance

Knowledge acquisition and model maintenance are key problems in knowledge engineering to improve the productivity in the development of intelligent systems. Although historically a number of technical solutions have been proposed in this area, the recent experience shows that there is still an important gap between the way end-users describe their expertise and the way intelligent systems represent knowledge. In this paper we propose an original way to cope with this problem based on electronic documents. We propose the concept of intelligent document processor as a tool that allows the end-user to read/write a document explaining how an intelligent system operates in such a way that, if the user changes the content of the document, the intelligent system will react to these changes. The paper presents the structure of such a document based on knowledge categories derived from the modern knowledge modeling methodologies together with a number of requirements to be understandable by end-users and problem solvers.

Adapting workflows to intelligent environments

Intelligent environments aim at supporting the user in executing her everyday tasks, e.g. by guiding her through a maintenance or cooking procedure. This requires a machine processable representation of the tasks for which workflows have proven an efficient means. The increasing number of available sensors in intelligent environments can facilitate the execution of workflows. The sensors can help to recognize when a user has finished a step in the workflow and thus to automatically proceed to the next step. This can heavily reduce the amount of required user interaction. However, manually specifying the conditions for triggering the next step in a workflow is very cumbersome and almost impossible for environments which are not known at design time. In this paper, we present a novel approach for learning and adapting these conditions from observation. We show that the learned conditions can even outperform the quality as conditions manually specified by workflow experts. Thus, the presented approach is very well suited for automatically adapting workflows in intelligent environments and can in that way increase the efficiency of the workflow execution. © 2011 IEEE.

System dynamics modelling of the processes involving the maintenance of the naive T cell repertoire

The study of immune system aging, i.e. immunosenescence, is a relatively new research topic. It deals with understanding the processes of immuno-degradation that indicate signs of functionality loss possibly leading to death. Even though it is not possible to prevent immunosenescence, there is great benefit in comprehending its causes, which may help to reverse some of the damage done and thus improve life expectancy. One of the main factors influencing the process of immunosenescence is the number and phenotypical variety of naive T cells in an individual. This work presents a review of immunosenescence, proposes system dynamics modelling of the processes involving the maintenance of the naive T cell repertoire and presents some preliminary results.

Data-stream driven Fuzzy-granular approaches for system maintenance

Intelligent systems are currently inherent to the society, supporting a synergistic human-machine collaboration. Beyond economical and climate factors, energy consumption is strongly affected by the performance of computing systems. The quality of software functioning may invalidate any improvement attempt. In addition, data-driven machine learning algorithms are the basis for human-centered applications, being their interpretability one of the most important features of computational systems. Software maintenance is a critical discipline to support automatic and life-long system operation. As most software registers its inner events by means of logs, log analysis is an approach to keep system operation. Logs are characterized as Big data assembled in large-flow streams, being unstructured, heterogeneous, imprecise, and uncertain. This thesis addresses fuzzy and neuro-granular methods to provide maintenance solutions applied to anomaly detection (AD) and log parsing (LP), dealing with data uncertainty, identifying ideal time periods for detailed software analyses. LP provides deeper semantics interpretation of the anomalous occurrences. The solutions evolve over time and are general-purpose, being highly applicable, scalable, and maintainable. Granular classification models, namely, Fuzzy set-Based evolving Model (FBeM), evolving Granular Neural Network (eGNN), and evolving Gaussian Fuzzy Classifier (eGFC), are compared considering the AD problem. The evolving Log Parsing (eLP) method is proposed to approach the automatic parsing applied to system logs. All the methods perform recursive mechanisms to create, update, merge, and delete information granules according with the data behavior. For the first time in the evolving intelligent systems literature, the proposed method, eLP, is able to process streams of words and sentences. Essentially, regarding to AD accuracy, FBeM achieved (85.64+-3.69)%; eGNN reached (96.17+-0.78)%; eGFC obtained (92.48+-1.21)%; and eLP reached (96.05+-1.04)%. Besides being competitive, eLP particularly generates a log grammar, and presents a higher level of model interpretability.