Guidelines for air quality maintenance planning and analysis.

Vol. 7: second ed., 1975.

Probabilistic models to assist maintenance of multiple instruments

The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics

Probabilistic models to assist maintenance of multiple instruments

The paper discusses maintenance challenges of organisations with a huge number of devices and proposes the use of probabilistic models to assist monitoring and maintenance planning. The proposal assumes connectivity of instruments to report relevant features for monitoring. Also, the existence of enough historical registers with diagnosed breakdowns is required to make probabilistic models reliable and useful for predictive maintenance strategies based on them. Regular Markov models based on estimated failure and repair rates are proposed to calculate the availability of the instruments and Dynamic Bayesian Networks are proposed to model cause-effect relationships to trigger predictive maintenance services based on the influence between observed features and previously documented diagnostics

Decision support system for inspection and maintenance:a case of oil pipelines

The existing method of pipeline health monitoring, which requires an entire pipeline to be inspected periodically, is unproductive. A risk-based decision support system (DSS) that reduces the amount of time spent on inspection has been presented. The risk-based DSS uses the analytic hierarchy process (AHP), a multiple attribute decision-making technique, to identify the factors that influence failure on specific segments and analyzes their effects by determining probability of occurrence of these risk factors. The severity of failure is determined through consequence analysis. From this, the effect of a failure caused by each risk factor can be established in terms of cost and the cumulative effect of failure is determined through probability analysis. The model optimizes the cost of pipeline operations by reducing subjectivity in selecting a specific inspection method, identifying and prioritizing the right pipeline segment for inspection and maintenance, deriving budget allocation, providing guidance to deploy the right mix labor for inspection and maintenance, planning emergency preparation, and deriving logical insurance plan. The proposed methodology also helps derive inspection and maintenance policy for the entire pipeline system, suggest design, operational philosophy, and construction methodology for new pipelines.

A reliability centered maintenance decision system for a discrete part manufacturing facility

This thesis develops and validates the framework of a specialized maintenance decision support system for a discrete part manufacturing facility. Its construction utilizes a modular approach based on the fundamental philosophy of Reliability Centered Maintenance (RCM). The proposed architecture uniquely integrates System Decomposition, System Evaluation, Failure Analysis, Logic Tree Analysis, and Maintenance Planning modules. It presents an ideal solution to the unique maintenance inadequacies of modern discrete part manufacturing systems. Well established techniques are incorporated as building blocks of the system's modules. These include Failure Mode Effect and Criticality Analysis (FMECA), Logic Tree Analysis (LTA), Theory of Constraints (TOC), and an Expert System (ES). A Maintenance Information System (MIS) performs the system's support functions. Validation was performed by field testing of the system at a Miami based manufacturing facility. Such a maintenance support system potentially reduces downtime losses and contributes to higher product quality output. Ultimately improved profitability is the final outcome. ^

Scheduling of track inspection and maintenance activities in railroad networks

The U.S. railroad companies spend billions of dollars every year on railroad track maintenance in order to ensure safety and operational efficiency of their railroad networks. Besides maintenance costs, other costs such as train accident costs, train and shipment delay costs and rolling stock maintenance costs are also closely related to track maintenance activities. Optimizing the track maintenance process on the extensive railroad networks is a very complex problem with major cost implications. Currently, the decision making process for track maintenance planning is largely manual and primarily relies on the knowledge and judgment of experts. There is considerable potential to improve the process by using operations research techniques to develop solutions to the optimization problems on track maintenance. In this dissertation study, we propose a range of mathematical models and solution algorithms for three network-level scheduling problems on track maintenance: track inspection scheduling problem (TISP), production team scheduling problem (PTSP) and job-to-project clustering problem (JTPCP). TISP involves a set of inspection teams which travel over the railroad network to identify track defects. It is a large-scale routing and scheduling problem where thousands of tasks are to be scheduled subject to many difficult side constraints such as periodicity constraints and discrete working time constraints. A vehicle routing problem formulation was proposed for TISP, and a customized heuristic algorithm was developed to solve the model. The algorithm iteratively applies a constructive heuristic and a local search algorithm in an incremental scheduling horizon framework. The proposed model and algorithm have been adopted by a Class I railroad in its decision making process. Real-world case studies show the proposed approach outperforms the manual approach in short-term scheduling and can be used to conduct long-term what-if analyses to yield managerial insights. PTSP schedules capital track maintenance projects, which are the largest track maintenance activities and account for the majority of railroad capital spending. A time-space network model was proposed to formulate PTSP. More than ten types of side constraints were considered in the model, including very complex constraints such as mutual exclusion constraints and consecution constraints. A multiple neighborhood search algorithm, including a decomposition and restriction search and a block-interchange search, was developed to solve the model. Various performance enhancement techniques, such as data reduction, augmented cost function and subproblem prioritization, were developed to improve the algorithm. The proposed approach has been adopted by a Class I railroad for two years. Our numerical results show the model solutions are able to satisfy all hard constraints and most soft constraints. Compared with the existing manual procedure, the proposed approach is able to bring significant cost savings and operational efficiency improvement. JTPCP is an intermediate problem between TISP and PTSP. It focuses on clustering thousands of capital track maintenance jobs (based on the defects identified in track inspection) into projects so that the projects can be scheduled in PTSP. A vehicle routing problem based model and a multiple-step heuristic algorithm were developed to solve this problem. Various side constraints such as mutual exclusion constraints and rounding constraints were considered. The proposed approach has been applied in practice and has shown good performance in both solution quality and efficiency.

Leanness na manutenção aeronáutica: o caso FAP

Os sistemas de armas da Força Aérea Portuguesa (FAP) têm por missão a defesa militar de Portugal, através de operações aéreas e da defesa do espaço aéreo nacional, sendo o F-16 o principal avião de ataque em uso nesta organização. Neste sentido, e tendo em conta o actual contexto económico mundial, as organizações devem rentabilizar todos os recursos disponíveis, custos associados e optimizar processos de trabalho. Tendo por base os pressupostos anteriores, o presente estudo pretende analisar a implementação de lean na FAP, uma vez que esta filosofia assenta na eliminação de desperdícios com vista a uma melhoria da qualidade e diminuição de tempos e custos. Posto isto, a análise deste trabalho vai recair sobre a área de manutenção do F-16, em concreto na Inspeção de Fase (IF), um tipo de manutenção que esta aeronave realiza a cada trezentas horas de voo. O estudo de caso vai incidir em dois momentos da IF: o primeiro ponto relaciona-se com o processamento da recolha de dados para a reunião preliminar onde são definidas, para as áreas de trabalho executantes, as ações de manutenção a realizar com a paragem da aeronave. Deste modo, pretende-se averiguar as causas inerentes aos atrasos verificados para a realização desta reunião. O segundo ponto em observação compreende a informação obtida através da aplicação informática SIAGFA, em uso na FAP, para o processamento de dados de manutenção das quatro aeronaves que inauguraram a IF com a filosofia lean. Esta análise permitiu perceber o número de horas de trabalho dispendidas (em média pelas quatro aeronaves) por cada uma das cartas de trabalho, verificando-se que as cartas adicionais comportam mais horas; foi possível compreender quais as áreas de trabalho consideradas críticas; foram identificados os dias de trabalho realizado e tempos de paragem sem qualquer tipo de intervenção. Foi ainda avaliado, por aeronave, o número de horas de trabalho realizadas na IF e quais os constrangimentos que se verificaram nas aeronaves, que não realizaram a IF no tempo definido para tal.

Certificação de um troço de via alvo de ataque mecânico pesado

Qualidade é a palavra de ordem pelo qual se regem todos os processos e intervenções da REFER (Rede Ferroviária Nacional). Com a evolução de requisitos exigidos pelo transporte em caminho de ferro, há que procurar sempre as últimas inovações, para que a circulação se faça sempre com maior segurança e comodidade, dando aos utilizadores deste tipo transporte uma qualidade extrema. Nos últimos anos esses requisitos tornaram-se cada vez mais exigentes, pois as condições de circulação aumentam tais como a prática de maiores velocidades, tonelagem e frequência das composições, o que leva a um maior rigor nos processos construtivos e conservativos das vias. A REFER, depois de grandes investimentos em novas infraestruturas ferroviárias, detém agora um decisivo e importante papel na resolução das problemáticas que emergem, apostando sempre em tecnologia de ponta para que possa desenvolver um trabalho de conservação que satisfaça todas as necessidades exigidas. Este trabalho desenvolver-se-á nesta ótica de conservação e manutenção, acompanhando todo um processo específico de ataque mecânico pesado, até à sua certificação. A análise dos vários processos caracterizará a exigência referida na manutenção, principalmente da via moderna, onde a fasquia de requisitos é mais elevada.

Programa de manutenção de aeronaves das companhias de aviação de baixo custo

Este trabalho aborda o Programa de Manutenção de Aeronaves das companhias de aviação de baixo custo, tendo como foco a análise e identificação dos requisitos legais e das metodologias de desenvolvimento de um Programa de Manutenção de uma aeronave e a comparação dos custos de manutenção de companhias de baixo custo com as companhias regulares. A aplicação eficaz de um programa de manutenção, para além de reduzir os seus custos, tem um impacto positivo na segurança, economia da manutenção e na fiabilidade de despacho. A metodologia utilizada foi a análise de informação de publicações e artigos. Com base na revisão de literaturas especializadas, fez-se uma selecção dos diversos aspectos necessários para se obter um Programa de Manutenção, o que permitiu construir o caso de estudo e efectuar a análise dos custos inerentes de manutenção de um operador aéreo de baixo custo e de um operador aéreo regular. Os resultados da análise permitiram chegar a veracidade da hipótese de que do ponto de vista de manutenção é igualmente seguro ou não seguro voar numa companhia de baixo custo e numa companhia regular, assim independentemente do tipo de companhia, ambas devem cumprir os requisitos para aprovação do PMA imposto pela autoridade aeronáutica, para garantir a aeronavegabilidade das aeronaves, ou seja, a sua segurança para a condição de voo, sem pôr em causa o carimbo baixo custo ou regular da companhia.

Revestimento de piso em pedra calcária: adequabilidade, patologia e manutenção

Dissertação para obtenção do grau de Mestre em Engenharia Civil na Área de Especialização em Edificações

Desenvolvimento de modelo para a melhoria do planeamento da manutenção

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica

Integration of Bridge Damage Detection Concepts and Components (3 volumes), TR-636, 2013

This work is divided into three volumes: Volume I: Strain-Based Damage Detection; Volume II: Acceleration-Based Damage Detection; Volume III: Wireless Bridge Monitoring Hardware. Volume I: In this work, a previously-developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule. An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training. Volume II: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The objective of this part of the project was to validate/integrate a vibration-based damage-detection algorithm with the strain-based methodology formulated by the Iowa State University Bridge Engineering Center. This report volume (Volume II) presents the use of vibration-based damage-detection approaches as local methods to quantify damage at critical areas in structures. Acceleration data were collected and analyzed to evaluate the relationships between sensors and with changes in environmental conditions. A sacrificial specimen was investigated to verify the damage-detection capabilities and this volume presents a transmissibility concept and damage-detection algorithm that show potential to sense local changes in the dynamic stiffness between points across a joint of a real structure. The validation and integration of the vibration-based and strain-based damage-detection methodologies will add significant value to Iowa’s current and future bridge maintenance, planning, and management Volume III: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. This report volume (Volume III) summarizes the energy harvesting techniques and prototype development for a bridge monitoring system that uses wireless sensors. The wireless sensor nodes are used to collect strain measurements at critical locations on a bridge. The bridge monitoring hardware system consists of a base station and multiple self-powered wireless sensor nodes. The base station is responsible for the synchronization of data sampling on all nodes and data aggregation. Each wireless sensor node include a sensing element, a processing and wireless communication module, and an energy harvesting module. The hardware prototype for a wireless bridge monitoring system was developed and tested on the US 30 Bridge over the South Skunk River in Ames, Iowa. The functions and performance of the developed system, including strain data, energy harvesting capacity, and wireless transmission quality, were studied and are covered in this volume.

Luotettavuuskeskeisen kunnossapidon soveltaminen vaneriteollisuuden koneille

Diplomityön tarkoituksena on tutkia luotettavuuskeskeisen kunnossapidon soveltamista Raute Oyj:n vanerikoneille. Työn tavoitteena on luoda suunnitelma luotettavuuskeskeisen kunnossapidon soveltamiseksi Raute Oyj:llä. Tavoitteena on myös kehittää malli ennakkohuoltosuunnitelmien sekä kriittisten huoltojen ja varaosien määrittelyyn päälinjoille. Kunnossapitoliiketoiminta on Rautella voimakkaasti kasvava liiketoiminta-alue. Voimakkaan kasvun seurauksena on yritykseen syntynyt kunnossapitotoimintojen kehitystarve. Luotettavuuskeskeistä kunnossapitoa hyödyntämällä on tarkoitus kehittää vanerikoneiden kunnossapitoa ja luoda Rautelle kunnossapitotuotteita. Työssä on tutkittu luotettavuuskeskeisen kunnossapidon soveltamista va-neriteollisuuden koneille laitevalmistajan näkökulmasta. Työssä on käsitelty kirjallisuuden pohjalta vanerin valmistusprosessia, vanerikoneita, kunnossapitoa sekä luotettavuuskeskeistä kunnossapitoa. Lisäksi on selvitetty vanerikoneiden kunnossapidon nykytilaa Raute Oyj:llä ja sen asiakkaiden vaneritehtaissa. Työn tuloksena syntyi toimintaehdotus luotettavuuskeskeisen kunnossapidon soveltamiseksi Rauten tuotteille. Ennakkohuoltosuunnitelmien luomiseen ja kehittämiseen työssä syntyi kunnossapitomalli, jonka pohjalta työssä luotiin xy-pöllinkeskittäjälle luotettavuuskeskeiseen kunnossapitoon perustuva ennakkohuoltosuunnitelma sekä määritettiin kriittiset varaosat.

KUNNOSSAPIDON SUORITUSKYVYN SEURANTA JA KEHITTÄMINEN

Työn tavoitteena oli kehittää kunnossapitoyritykselle toiminnan tuottavuuden ja tehokkuuden mittausjärjestelmä. Ensin etsittiin teorian avulla ne sopivat suorituskykymittarit ja tekijät, joiden avulla yrityksen suorituskykyä voidaan luotettavasti ja ymmärrettävästi seurata. Apuna työnkulussa käytettiin kunnossapidon henkilökunnalle suunnattuja kirjallisia ja suullisia haastatteluja. Haastatteluiden avulla selvitettiin kunnossapidon suorituskyvyn mittauksen nykytila sekä mahdollisia kehityskohteita. Haastatteluihin ja kirjallisuuteen pohjautuen päätettiin yritykselle rakentaa suorituskykymittaristo. Mittaristoksi valittiin tuottavuus- eli tavoitematriisi, joka on toimiva työkalu mittareiden seurantaan. Se on helppokäyttöinen ja selkeä. Lisäksi matriisi antaa tulosindeksin avulla kokonaiskuvan kunnossapidon tasosta. Tavoitematriisi koostuu eri menestystekijöistä sekä näiden menestystekijöiden tunnusluvuista eli mittareista. Menestystekijöiksi valittiin: taloudellisuus, tuotantojärjestelmän tehokkuus, kustannusrakenne, kunnossapidon suunnittelu sekä häiriönkorjaus. Menestystekijöillä on jokaisella kolmesta kuuteen mittaria. Tavoitematriisin käyttö ja seuranta tapahtuu yksinkertaisen sovellusohjelman avulla. Mittariston kehittäminen on pitkä ja vaativa prosessi. Mittareita, niiden tavoitearvoja sekä menestystekijöitä tulee säännöllisin väliajoin tarkastaa, jotta kehitys on oikean suuntaista. Mittariston käyttöönotto ja käyttö edellyttävät kaikilta työntekijöiltä motivaatiota toiminnan kehitykseen sekä pitkäjänteisyyttä, sillä matriisin tarjoamat hyödyt ovat näkyvissä vasta kuukausien päästä.

Sähkönsiirtoyritysten kunnossapidon taloudellinen malli

Sähkönsiirtoyritysten kunnossapidon taloudellinen malli eli SKUTMA, on sähköverkkoyhtiöille suunniteltu luotettavuuspohjainen kunnossapitomalli, mikä priorisoi ja ajoittaa sähkönjakeluverkon komponenttien huolto- ja investointiajankohdat. Malli hyödyntää dynaamisen optimoinnin algoritmia kustannusminimien löytämiseksi tarkastelujaksolta ja simuloi komponenttien rappeutumasta rappeutumismallin avulla. Tässä diplomityössä on kehitetty kunnossapito-ohjelma SKUTMA-mallin pohjalta, minkä avulla tutkitaan mallin toimivuutta oikeilla johtolähdöillä ja sen hyödyntämistä sähköverkkojen kunnossapidon suunnittelussa. Työssä käydään läpi myös kunnossapitoohjelman laskenta metodiikkaa ja sen ominaisuuksia. Tämän työn lopputuloksena saadaan selkeä kuva mallin toiminnasta, käytettävyydestä ja jatkokehityspotentiaalista.