Modelling, simulation and optimization of maintenance considerations on condition based maintenance

Globalization has increased the pressure on organizations and companies to operate in the most efficient and economic way. This tendency promotes that companies concentrate more and more on their core businesses, outsource less profitable departments and services to reduce costs. By contrast to earlier times, companies are highly specialized and have a low real net output ratio. For being able to provide the consumers with the right products, those companies have to collaborate with other suppliers and form large supply chains. An effect of large supply chains is the deficiency of high stocks and stockholding costs. This fact has lead to the rapid spread of Just-in-Time logistic concepts aimed minimizing stock by simultaneous high availability of products. Those concurring goals, minimizing stock by simultaneous high product availability, claim for high availability of the production systems in the way that an incoming order can immediately processed. Besides of design aspects and the quality of the production system, maintenance has a strong impact on production system availability. In the last decades, there has been many attempts to create maintenance models for availability optimization. Most of them concentrated on the availability aspect only without incorporating further aspects as logistics and profitability of the overall system. However, production system operator’s main intention is to optimize the profitability of the production system and not the availability of the production system. Thus, classic models, limited to represent and optimize maintenance strategies under the light of availability, fail. A novel approach, incorporating all financial impacting processes of and around a production system, is needed. The proposed model is subdivided into three parts, maintenance module, production module and connection module. This subdivision provides easy maintainability and simple extendability. Within those modules, all aspect of production process are modeled. Main part of the work lies in the extended maintenance and failure module that offers a representation of different maintenance strategies but also incorporates the effect of over-maintaining and failed maintenance (maintenance induced failures). Order release and seizing of the production system are modeled in the production part. Due to computational power limitation, it was not possible to run the simulation and the optimization with the fully developed production model. Thus, the production model was reduced to a black-box without higher degree of details.

Design and implementation of a vibrational condition monitoring system

Industrial companies, particularly those with induction motors and gearboxes as integral components of their systems, are utilizing Condition Monitoring (CM) systems more frequently in order to discover the need for maintenance in advance, as traditional maintenance only performs tasks when a failure has been identified. Utilizing a CM system is essential to boost productivity and minimize long-term failures that result in financial loss. The more exact and practical the CM system, the better the data analysis, which adds to a more precise maintenance forecast. This thesis project is a cooperation with PEI Vibration Monitoring s.r.l. to design and construct a low-cost vibrational condition monitoring system to check the health of induction motors and gearboxes automatically. Moreover, according to the company's request, such a system should have specs comparable to NI 9234, one of the company's standard Data Acquisition (DAQ) boards, but at a significantly cheaper price. Additionally, PEI VM Company has supplied all hardware and electronic components. The suggested CM system is capable of highprecision autonomous monitoring of induction motors and gearboxes, and it consists of a Raspberry Pi 3B and MCC 172 DAQ board.

Finite Element Modeling of Spiral Frequency Steerable Acoustic Transducers (FSATs) for guided waves based Structural Health Monitoring of plate-like structures

Structural Health Monitoring (SHM) is an emerging area of research associated to improvement of maintainability and the safety of aerospace, civil and mechanical infrastructures by means of monitoring and damage detection. Guided wave structural testing method is an approach for health monitoring of plate-like structures using smart material piezoelectric transducers. Among many kinds of transducers, the ones that have beam steering feature can perform more accurate surface interrogation. A frequency steerable acoustic transducer (FSATs) is capable of beam steering by varying the input frequency and consequently can detect and localize damage in structures. Guided wave inspection is typically performed through phased arrays which feature a large number of piezoelectric transducers, complexity and limitations. To overcome the weight penalty, the complex circuity and maintenance concern associated with wiring a large number of transducers, new FSATs are proposed that present inherent directional capabilities when generating and sensing elastic waves. The first generation of Spiral FSAT has two main limitations. First, waves are excited or sensed in one direction and in the opposite one (180 ̊ ambiguity) and second, just a relatively rude approximation of the desired directivity has been attained. Second generation of Spiral FSAT is proposed to overcome the first generation limitations. The importance of simulation tools becomes higher when a new idea is proposed and starts to be developed. The shaped transducer concept, especially the second generation of spiral FSAT is a novel idea in guided waves based of Structural Health Monitoring systems, hence finding a simulation tool is a necessity to develop various design aspects of this innovative transducer. In this work, the numerical simulation of the 1st and 2nd generations of Spiral FSAT has been conducted to prove the directional capability of excited guided waves through a plate-like structure.

Space charge and dielectric response measurements to assess insulation aging of low-voltage cables used in nuclear power plants

The current design life of nuclear power plant (NPP) could potentially be extended to 80 years. During this extended plant life, all safety and operationally relevant Instrumentation & Control (I&C) systems are required to meet their designed performance requirements to ensure safe and reliable operation of the NPP, both during normal operation and subsequent to design base events. This in turn requires an adequate and documented qualification and aging management program. It is known that electrical insulation of I&C cables used in safety related circuits can degrade during their life, due to the aging effect of environmental stresses, such as temperature, radiation, vibration, etc., particularly if located in the containment area of the NPP. Thus several condition monitoring techniques are required to assess the state of the insulation. Such techniques can be used to establish a residual lifetime, based on the relationship between condition indicators and ageing stresses, hence, to support a preventive and effective maintenance program. The object of this thesis is to investigate potential electrical aging indicators (diagnostic markers) testing various I&C cable insulations subjected to an accelerated multi-stress (thermal and radiation) aging.

Acquisition of Vibration Signals for Predictive Maintenance: a Practical Case

As predictive maintenance becomes more and more relevant in industrial environment, the possible range of applications for this maintenance strategy grows. The progresses in components technology and their reduction in price, together with the late years' advances in machine learning and in computational power, are making the implementation of predictive maintenance possible in plants where it would have previously been unreasonably costly. This is leading major pharmaceutical industries to explore the possibility of the application of condition monitoring systems on progressively less and less critical equipment. The focus of this thesis is on the implementation of a system to gather vibrational data from the motors installed in a pre-existing machine using off-the-shelf components. The final goal for the system is to provide the necessary vibration data, in the form of frequency spectra, to a machine learning system developed by IMA Digital, which will be leveraging such data to predict possible upcoming faults and to give the final client all the information necessary to plan maintenance activity according to the estimated machine condition.

Manutenzione su condizione e analisi dei ricambi per macchine automatiche nell’ottica industria 4.0. Il caso SACMI S.C.

In questo elaborato di tesi si affronta uno studio inerente alla Manutenzione su Condizione (CBM), applicata ad una macchina automatica adibita alla produzione di capsule in plastica, in collaborazione con il gruppo SACMI S.C. di Imola. Nel Capitolo 1 viene fornita una introduzione sul tema della manutenzione e sulla sua evoluzione dalla prima rivoluzione industriale ad oggi. Nel Capitolo 2 vengono descritti i principi teorici della manutenzione predittiva e se ne analizza lo stato dell’arte. Nel Capitolo 3 viene fornita una introduzione sull’azienda SACMI S.C. e in seguito vengono descritte nel dettaglio le macchine sulle quali si sono concentrate le successive analisi. Nel Capitolo 4 viene approfondito l’estrusore, uno dei componenti principali delle macchine analizzate. Nel Capitolo 5 viene presentato un esempio di valutazione dell’efficienza di alcune macchine collegate in serie attraverso il calcolo di un indicatore chiamato Overall Equipment Effectiveness (OEE). Il Capitolo 6 rappresenta il cuore della tesi e contiene tutte le analisi di CBM effettuate durante il periodo di tirocinio. Vengono analizzati i principali gruppi funzionali della macchina a partire da quelli più critici per tempi o costi di manutenzione. Le analisi sono state condotte ricercando all’interno di tutto il parco macchine quelle che presentavano delle condizioni di funzionamento sospette. Nel Capitolo 7 vengono presentate alcune analisi relative ai tempi di fermo macchina dovuti alle manutenzioni preventive e ai costi dei ricambi previsti dal manuale di manutenzione. Queste analisi vengono poi declinate su un caso reale nel quale si calcola il costo dei ricambi negli ultimi cinque anni distinguendo tra costi dovuti ad azioni preventive o correttive. Nel Capitolo 8 vengono presentate le conclusioni, mentre nel Capitolo 9 sono presentati gli sviluppi futuri di questo lavoro.

Analisi dei guasti di un termovalorizzatore

L’obiettivo del presente lavoro di tesi è stato quello di effettuare, tramite l’applicazione di una metodologia RBM – Risk Based Maintenance, l’analisi dei guasti avvenuti nel biennio 2012-2013 nel termovalorizzatore di rifiuti solidi urbani di Modena gestito dalla società Herambiente.

World Class Manufacturing : approccio ad un sistema di manutenzione predittiva (CBM)

L’oggetto di analisi del presente lavoro di tesi è il modello di Operational Excellence noto come World Class Manufacturing in particolare l’approccio allo step 6 del pilastro Professional Maintenance, dove si richiede l’implementazione di un sistema di manutenzione PREDITTIVA, la cosiddetta CBM (Conditional Based Maintenance) . Il modello a cui si fa riferimento fu teorizzato dal professore giapponese H. Yamashina verso la metà degli anni 2000 e giunse in Italia attorno al 2005, quando Fiat Group (oggi FCA) lo adottò come approccio standard alla gestione della produzione. Questo tipo di analisi, orientata verso una prospettiva pratica più che teorica, deriva direttamente da un’esperienza sul campo che ho svolto all’interno di un’azienda che ha aderito al World Class Manufacturing (WCM). Nel capitolo 1 verrà proposto un excursus delle metodologie alla base del WCM e del percorso storico che ha portato alla formulazione del modello. Nel secondo capitolo verrà proposto un caso di applicazione del WCM all'interno di un Gruppo, nella fattispecie Ariston Thermo Group (ATG). Dopo un’overview sul Gruppo e sulla storia della sua adesione al programma di miglioramento, la trattazione si focalizza sull'approccio di ATG al WCM. Nel terzo capitolo verrà introdotta la Manutenzione Professionale secondo le principali politiche manutentive schematizzate dal WCM. Verranno presentate singolarmente per sottolineare i loro obiettivi seguiti dai vantaggi e svantaggi che si possono ottenere nell’implementare ogni singola politica. Nel quarto capitolo verranno specificate sotto un aspetto prettamente pratico le varie attività svolte dalla PM così da evidenziare lo sviluppo e il miglioramento continuo che essa sta ottenendo dall’introduzione del WCM; principalmente la presentazione delle varie attività si riferiscono al passaggio allo step 6 della PM, dove verrà presentata approfonditamente elencando e analizzando tutte le attività svolte per approcciarsi alla CBM.

Spatial and temporal variation in settlement, growth and condition of the rockfish species Sebastes caurinus and Sebastes carnatus in the Channel Islands region, Santa Barbara, CA

Survival during the early life stages of marine species, including nearshore temperate reef fishes, is typically very low, and small changes in mortality rates, due to physiological and environmental conditions, can have marked effects on survival of a cohort and, on a larger scale, on the success of a recruitment season. Moreover, trade offs between larval growth and accumulation of energetic resources prior to settlement are likely to influence growth and survival until this critical period and afterwards. Rockfish recruitment rates are notoriously variable between years and across geographic locations. Monitoring of rates of onshore delivery of pelagic juveniles (defined here as settlement) of two species of nearshore rockfishes, Sebastes caurinus and Sebastes carnatus, was done between 2003-2009 years using artificial collectors placed at San Miguel and Santa Cruz Island, off Southern California coast. I investigated spatiotemporal variation in settlement rate, lipid content, pelagic larval duration and larval growth of the newly settled fishes; I assessed relationships between birth date, larval growth, early life-history characteristics and lipid content at settlement, considering also interspecific differences; finally, I attempt to relate interannual patterns of settlement and of early life history traits to easily accessible, local and regional indices of ocean conditions including in situ ocean temperature and regional upwelling, sea surface temperature (SST) and Chlorophyll-a (Chl-a) concentration. Spatial variations appeared to be of low relevance, while significant interannual differences were detected in settlement rate, pelagic larval duration and larval growth. The amount of lipid content of the newly settled fishes was highly variable in space and time, but did not differ between the two species and did not show any relationships with early life history traits, indicating that no trade off involved these physiological processes or they were masked by high individual variability in different periods of larval life. Significant interspecific differences were found in the timing of parturition and settlement and in larval growth rates, with S. carnatus growing faster and breeding and settling later than S. caurinus. The two species exhibited also different patterns of correlations between larval growth rates and larval duration. S. carnatus larval duration was longer when the growth in the first two weeks post-hatch was faster, while S. caurinus had a shorter larval duration when grew fast in the middle and in the end of larval life, suggesting different larval strategies. Fishes with longer larval durations were longer in size at settlement and exhibited longer planktonic phase in periods of favourable environmental conditions. Ocean conditions had a low explanatory power for interannual variation in early life history traits, but a very high explanatory power for settlement fluctuations, with regional upwelling strength being the principal indicator. Nonetheless, interannual variability in larval duration and growth were related to great phenological changes in upwelling happened during the period of this study and that caused negative consequences at all trophic levels along the California coast. Despite the low explanatory power of the environmental variables used in this study on the variation of larval biological traits, environmental processes were differently related with early life history characteristics analyzed to species, indicating possible species-specific susceptibility to ocean conditions and local environmental adaptation, which should be further investigated. These results have implications for understanding the processes influencing larval and juvenile survival, and consequently recruitment variability, which may be dependent on biological characteristics and environmental conditions.

Boundary condition identification of a bridge pier using experimental data and FEM modal updating

Over the past twenty years, new technologies have required an increasing use of mathematical models in order to understand better the structural behavior: finite element method is the one mostly used. However, the reliability of this method applied to different situations has to be tried each time. Since it is not possible to completely model the reality, different hypothesis must be done: these are the main problems of FE modeling. The following work deals with this problem and tries to figure out a way to identify some of the unknown main parameters of a structure. This main research focuses on a particular path of study and development, but the same concepts can be applied to other objects of research. The main purpose of this work is the identification of unknown boundary conditions of a bridge pier using the data acquired experimentally with field tests and a FEM modal updating process. This work doesn’t want to be new, neither innovative. A lot of work has been done during the past years on this main problem and many solutions have been shown and published. This thesis just want to rework some of the main aspects of the structural optimization process, using a real structure as fitting model.