Academic literature on the topic 'Self-evaluation maintenance model'
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Journal articles on the topic "Self-evaluation maintenance model"
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Sakurai, Shigeo. "The effects of individual differences on Self-Evaluation Maintenance Model." Japanese journal of psychology 63, no. 1 (1992): 16–22. http://dx.doi.org/10.4992/jjpsy.63.16.
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Feng, Zhi Gang, Qi Wang, and K. Shida. "Validated Uncertainty Evaluation for Self-Validating Sensor." Key Engineering Materials 381-382 (June 2008): 419–22. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.419.
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This paper evaluates the validated uncertainty in SEVA sensor by integrating fault detection, identification and reconstruction (FDIR) and reliability engineering. The impact of each fault mode on measurement quality is evaluated quantitatively by using a priori sensor reliability information to investigate the impact of incomplete fault coverage, FDIR and manual maintenance intervention. Bayesian probabilistic approach and uncertainty calculus are employed to model the impact of sensor validation on parameter uncertainty and to fuse the individual modes into a complete sensor model. A simulation of SEVA pressure sensor example illustrates the concept and conclusions.
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Kamide, Hiroko, and Ikuo Daibo. "Application of a self-evaluation maintenance model to psychological health in interpersonal contexts." Journal of Positive Psychology 4, no. 6 (November 2009): 557–65. http://dx.doi.org/10.1080/17439760903157158.
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Magableh, Basel, and Stephen Barrett. "Productivity Evaluation of Self-Adaptive Software Model Driven Architecture." International Journal of Information Technology and Web Engineering 6, no. 4 (October 2011): 1–19. http://dx.doi.org/10.4018/jitwe.2011100101.
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Anticipating context changes using a model-based approach requires a formal procedure for analysing and modelling context-dependent functionality and stable description of the architecture which supports dynamic decision-making and architecture evolution. This article demonstrates the capabilities of the context-oriented component-based application-model-driven architecture (COCA-MDA) to support the development of self-adaptive applications; the authors describe a state-of-the-art case study and evaluate the development effort involved in adopting the COCA-MDA in constructing the application. An intensive analysis of the application requirements simplified the process of modelling the application’s behavioural model; therefore, instead of modelling several variation models, the developers modelled an extra-functionality model. COCA-MDA reduces the development effort because it maintains a clear separation of concerns and employs a decomposition mechanism to produce a context-oriented component model which decouples the applications’ core functionality from the context-dependent functionality. Estimating the MDA approach’s productivity can help the software developers select the best MDA-based methodology from the available solutions. Thus, counting the source line of code is not adequate for evaluating the development effort of the MDA-based methodology. Quantifying the maintenance adjustment factor of the new, adapted, and reused code is a better estimate of the development effort of the MDA approaches.
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Nicholls, Emma, and Arthur A. Stukas. "Narcissism and the Self-Evaluation Maintenance Model: Effects of Social Comparison Threats on Relationship Closeness." Journal of Social Psychology 151, no. 2 (February 17, 2011): 201–12. http://dx.doi.org/10.1080/00224540903510852.
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Oliveira, Marcelo Albuquerque, and Isabel Lopes. "Evaluation and improvement of maintenance management performance using a maturity model." International Journal of Productivity and Performance Management 69, no. 3 (August 5, 2019): 559–81. http://dx.doi.org/10.1108/ijppm-07-2018-0247.
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PurposeThe purpose of this paper is to develop a new maturity model to identify the current state of maintenance area of organizations and drives actions to increase efficiency and effectiveness toward the concept known as world-class.Design/methodology/approachThe model was developed based on an extensive literature review on maintenance management and maturity assessment, which allowed identifying the relevant factors in maintenance management and the world-class behaviors for each factor. The progressive maturity levels for each of the identified ten factors form the model. To test its effectiveness, it was applied to the maintenance area of three companies.FindingsThe model application showed that, in addition to being a self-assessment tool, it provides knowledge, to those who use it, on behaviors or practices that enable world-class results. For each factor, potential gaps and the desired state were defined focusing on behaviors rather than on indicators values or adopted methodologies, which facilitates the identification of improvement actions that lead to better performance.Research limitations/implicationsThrough its use, maturity levels can be identified for all considered maintenance management factors, however, the overall maturity of the maintenance area is not determined. Although this overall evaluation can be done assigning a weight to each factor, it was not considered an added value for the set purpose.Originality/valueThe proposed maturity model contributes to the understanding of the maintenance management process and how to stand out nowadays in an area that has an increasingly important impact on productivity and quality.
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Xia, Xiao Hui, and Chun Yan Xia. "The Study on Bridge Coupled Vibration System Analysis Model." Advanced Materials Research 546-547 (July 2012): 137–42. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.137.
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On the base of modal synthesis theory, the self-compiling vehicle-bridge coupling vibration analysis program was used to analyze the vehicle dynamic response and passing vehicle riding comfort of cable-stayed bridge. Compared with the impact of different factors on vehicle riding comfort, this method provides a useful theoretical reference to correlated evaluation research and management maintenance. The influence of driving speed on comfort is not obvious. The research makes reference to correlated project evaluation in procedure and method.
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Turisová, Renata, Hana Pačaiová, Zuzana Kotianová, Anna Nagyová, Michal Hovanec, and Peter Korba. "Evaluation of eMaintenance Application Based on the New Version of the EFQM Model." Sustainability 13, no. 7 (March 26, 2021): 3682. http://dx.doi.org/10.3390/su13073682.
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Maintenance management is connected with two opposing aspects, management costs and operational efficiency. With the implementation of new technology within the Industry 4.0 (I4.0) concept, new technical solutions are being created. These solutions (mainly robotic workplaces) must reach a maximum performance rate, production quality, and, of course, high availability. Their operation, during the whole life cycle, is expected to be absolutely safe with minimum maintenance costs. These trends, even though they seem to be optimistic, face a lot of problems. The conducted research follows up on the results of previous research aimed at the initial assessment Slovak industrial company readiness status for the I4.0 conception between 2017 and 2019. The aim of the ongoing research was to assess the readiness status in more than 70 industrial organizations in the selected area for the new concept of maintenance management (eMaintenance) and its relation to machinery integrated safety. The research was carried out by questioning, with the structure of individual questions and closed answers stemmed from the self-evaluation according to the new European Foundation for Quality Management (EFQM) Excellence Model (2020). The results of the research were presented to managements of questioned organizations and confirmed the assumptions about a low level of maintenance management transformation to eMaintenance.
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Ratcliffe, Denise, and Nell Ellison. "Obesity and Internalized Weight Stigma: A Formulation Model for an Emerging Psychological Problem." Behavioural and Cognitive Psychotherapy 43, no. 2 (September 4, 2013): 239–52. http://dx.doi.org/10.1017/s1352465813000763.
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Background:Obese individuals frequently experience weight stigma and this is associated with psychological distress and difficulties. The process of external devaluation can lead to negative self-perception and evaluation and some obese individuals develop “internalized weight stigma”. The prevalence of weight stigma is well established but there is a lack of information about the interplay between external and internal weight stigma.Aims:To synthesize the literature on the psychological effects of weight stigma into a formulation model that addresses the maintenance of internalized weight stigma.Method:Current research on the psychological impact of weight stigma was reviewed. We identify cognitive, behavioural and attentional processes that maintain psychological conditions where self-evaluation plays a central role. A model was developed based on clinical utility.Results:The model focuses on identifying factors that influence and maintain internalized weight stigma. We highlight the impact of negative societal and interpersonal experiences of weight stigma on how individuals view themselves as an obese person. Processing the self as a stigmatized individual is at the core of the model. Maintenance factors include negative self-judgements about the meaning of being an obese individual, attentional and mood shifts, and avoidance and safety behaviours. In addition, eating and weight management behaviours become deregulated and maintain both obesity and weight stigma.Conclusion:As obesity increases, weight stigma and the associated psychological effects are likely to increase. We provide a framework for formulating and intervening with internalized weight stigma as well as making therapists aware of the applicability and transferability of strategies that they may already use with other presenting problems.
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Iverach, Lisa, Ronald M. Rapee, Quincy J. J. Wong, and Robyn Lowe. "Maintenance of Social Anxiety in Stuttering: A Cognitive-Behavioral Model." American Journal of Speech-Language Pathology 26, no. 2 (May 17, 2017): 540–56. http://dx.doi.org/10.1044/2016_ajslp-16-0033.
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Purpose Stuttering is a speech disorder frequently accompanied by anxiety in social-evaluative situations. A growing body of research has confirmed a significant rate of social anxiety disorder among adults who stutter. Social anxiety disorder is a chronic and disabling anxiety disorder associated with substantial life impairment. Several influential models have described cognitive-behavioral factors that contribute to the maintenance of social anxiety in nonstuttering populations. The purpose of the present article is to apply these leading models to the experience of social anxiety for people who stutter. Method Components from existing models were applied to stuttering in order to determine cognitive-behavioral processes that occur before, during, and after social-evaluative situations, which may increase the likelihood of stuttering-related social fears persisting. Results Maintenance of social anxiety in stuttering may be influenced by a host of interrelated factors, including fear of negative evaluation, negative social-evaluative cognitions, attentional biases, self-focused attention, safety behaviors, and anticipatory and postevent processing. Conclusion Given the chronic nature of social anxiety disorder, identifying factors that contribute to the persistence of stuttering-related social fears has the potential to inform clinical practice and the development of psychological treatment programs to address the speech and psychological needs of people who stutter with social anxiety.
Dissertations / Theses on the topic "Self-evaluation maintenance model"
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Nimpfer, John Adam. "The Self-Evaluation Maintenance Model as a Moderator of Similarity-Attraction Vs Dissimilarity-Repulsion." W&M ScholarWorks, 1997. https://scholarworks.wm.edu/etd/1539626145.
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Andreasson, Mimmi, and Peter Borojevic. "Hur personer inom en vänskapskrets påverkas av att dela och jämföra skärmtid." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298294.
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Smartphones blir allt mer en integrerad del av människors liv genom att erbjuda funktioner som till exempel tillfredsställer våra sociala behov. Samtidigt har dessa funktioner också blivit en källa till smartphoneberoenden. Detta har bidragit till utvecklingen av digital detox-applikationer som kan hjälpa en att minska sin smartphoneanvändning. I några av dessa digital detox-applikationer existerar en funktion där man kan dela och jämföra skärmtid med andra personer, där en anledning kan vara att motivera varandra till att minska sin skärmtid. Att människor jämför sig med andra personer för att utvärdera sig själva från en viss aspekt, för att i sin tur utveckla ett nytt beteende kan kopplas till Social Comparison Theory och Selfevaluation maintenance model (SEM modellen). SEM modellen argumenterar bland annat för att personer som står en psykologiskt nära har en större tendens till att motivera en till självförbättring. Detta kan ske om de presterar bättre i ett område som är relevant för ens självdefinition. Studien har därför undersökt hur delning och jämförelse av skärmtid påverkar personer inom en vänskapskrets och om det kan leda till minskad mobilanvändning. Detta har undersökts med hjälp av applikationen Timedown där 5 vänner fått dela och jämföra sin skärmtid med varandra under 12 dagar. Slutligen genomfördes en semistrukturerad intervju med varje enskild deltagare. Intervjuerna syftade till att ta reda på hur deltagarna upplevde att använda funktionen och om det påverkat deras mobilanvändning. Resultatet av studien visar att personer påverkas olika av att dela och jämföra skärmtid med vänner och att det beror på hur ens skärmtid förhåller sig till övrigas. En person som har en förhållandevis hög skärmtid jämfört med sina vänners tenderar att ha en större benägenhet till att minska sin skärmtid än en person som har en lägre skärmtid. Resultatet bör dock inte generaliseras för alla vänskapsgrupper som använder den här typen av funktion. Däremot kan det bidra med nya perspektiv på hur jämförandet av skärmtid kan användas i digital detox-sammanhang.Smartphones are increasingly becoming an integral part of people's lives by offering functions that for example satisfies our social needs. At the same time, these functions have also become a source of smartphone addiction. This has contributed to the development of digital detox-applications which help to reduce one's smartphone usage. In some of these digital detox- applications, a function exists where you can share and compare screen time with other people. A reason for this can be to motivate each other to decrease smartphone usage. That people tend to compare themselves with others to evaluate themselves from a certain aspect and thereby develop a new behaviour, can be connected to the Social Comparison Theory and the Self-evaluation maintenance model (SEM-model). The SEM- model argues, among other things, for the fact that people who are psychologically close to a person, have a greater tendency to motivate that person to self-improvement. This happens if they perform better within an area relevant for the person's self-definition. The study has therefore investigated how sharing and comparing screen time affects persons within a friend group and if it can result in decreased screen time. This has been investigated using the application Timedown, where 5 friends have shared and com- pared their screen time with each other during 12 days. Finally, a semi-structured interview was carried out with every single participant. The interviews aimed to find out how the participants experienced using the feature and if it affected their smartphone usage. The result of the study shows that people are differently affected by sharing and comparing screen time with friends, and that it depends on your screen time in relation to the others. A person with a relatively high screen time compared to one's friends tends to have a greater inclination to decrease their screen time than a person with a lower screen time. The result should not be generalized for all friend groups using this type of feature. Instead, it could contribute to new perspectives on how the comparison of screen time can be used in contexts of digital detox.
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Wilcox, Susan E. "Improving the Definition of Exercise Maintenance: Evaluation of Concepts Related to Adherence." Thesis, University of North Texas, 2002. https://digital.library.unt.edu/ark:/67531/metadc3195/.
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Physical activity has been demonstrated in the literature as an effective way to reduce the risk for development of chronic disease. The Transtheoretical Model (TTM) of behavior change has been developed as a means to predict and facilitate movement into healthier lifestyle behaviors. The model is centered on "stages of change", which describe a continuum of readiness to engage in a health behavior change. Stages contain temporal, qualitative, and quantitative characteristics. This was a six-month study that evaluated the effectiveness of stage-matched (theorized to be pertaining only to the maintenance stage of change) vs. generic (theorized to be pertaining to anyone, regardless of stage) newsletters in assisting subjects to attain the Maintenance stage of change. It also sought to identify further qualitative characteristics that can differentiate between the Action and Maintenance stages of change. Results indicated that monthly stage-matched newsletters were no more effective in helping subjects reaching Maintenance than were the generic newsletters. Exerciser self-schema was related to stages of change, but those relationships differed from baseline to six-month follow-up, indicating development of exerciser self-schema during the study period. Implications of this are discussed. Other concepts discussed included "structure" of change process, in that three new scores were developed and correlated with self-efficacy as well as intercorrelated. Motivation was also evaluated and compared across levels of success at adhering to exercise during a three-month period. Limitations of the study and implications are discussed.
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Tsai, Ming-Hsiu, and 蔡銘修. "Research on the Assimilation and Contrast Effects in Social Comparison Based on Feature-matching Model and Self-evaluation Maintenance Model." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/88322643745511545966.
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碩士義守大學
管理研究所碩士班
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The past research had demonstrated that the focus of comparison will affect the assimilation and contrast effects and self-evaluation. Some other research indicated the relevance of comparison dimensions has the same impact on the assimilation and contrast effects and self-evaluation. Besides, the direction of social comparison has an influence on self-evaluation. Therefore, for making the study more complete, we investigated the influence of the focus of comparison, the relevance of comparison dimensions and the direction of comparison on the assimilation and contrast effects and self-evaluation. Besides, people not only compare the performance of ability with others, but also compare the health with others. Therefore, the study one used the performance of the school work as the comparison dimension, and the study two used the situation of the health as the comparison dimension. The study finds that the direction of comparison and the focus of comparison have a significant interactive effect on self-evaluation, and so do the direction of comparison and the relevance of comparison dimensions. Using self as the focus of comparison will cause a contrast effect on self-evaluation, while using others as the focus of comparison will have an assimilation effect on self-evaluation. When the comparison dimension is high-relevant, a contrast effect will be made on self-evaluation. However, an assimilation effect will be made on self-evaluation when the comparison dimension is low-relevant.
Book chapters on the topic "Self-evaluation maintenance model"
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Wilson, Anne, and Sarah L. Williams. "Self-Evaluation Maintenance Model." In Encyclopedia of Personality and Individual Differences, 4763–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1174.
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Wilson, Anne, and Sarah L. Williams. "Self-Evaluation Maintenance Model." In Encyclopedia of Personality and Individual Differences, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-28099-8_1174-1.
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Beach, Steven R. H., and Abraham Tesser. "Self-Esteem and the Extended Self-Evaluation Maintenance Model." In Efficacy, Agency, and Self-Esteem, 145–70. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1280-0_8.
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Tesser, Abraham. "Toward a Self-Evaluation Maintenance Model of Social Behavior." In Advances in Experimental Social Psychology, 181–227. Elsevier, 1988. http://dx.doi.org/10.1016/s0065-2601(08)60227-0.
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Rosa, Adriane R., and Flávia Lima. "Functioning and illness progression in severe mental illness." In Neuroprogression in Psychiatry, 147–60. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198787143.003.0009.
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Traditionally the effectiveness of treatments in psychiatry has been driven by the medical model, where treatment response and remission rates are used as the major measures of efficacy. However, there is increasing evidence suggesting the need for additional measures to complement symptomatic evaluation. Individuals with severe mental illnesses experience impairment across a number of domains of everyday functioning, including social and occupational functioning, residential maintenance, medication management, and basic self-care. This is particularly important since such impairment occurs even in clinical remission periods and may occur immediately after illness onset, worsening with the progressive course. Therefore, the assessment of psychosocial functioning is crucial in individuals with severe mental illnesses, as are the rates of functional recovery, which have been indicated as a further measure of treatment response in investigation setting and clinical practice.
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A. Guinee, Richard. "Novel Application of Fast Simulated Annealing Method in Brushless Motor Drive (BLMD) Dynamical Parameter Identification for Electric Vehicle Propulsion." In Self-driving Vehicles and Enabling Technologies [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97370.
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Permanent magnet brushless motor drives (BLMD) are extensively used in electric vehicle (EV) propulsion systems because of their high power and torque to weight ratio, virtually maintenance free operation with precision control of torque, speed and position. An accurate dynamical parameter identification strategy is an essential feature in the adaptive control of such BLMD-EV systems where sensorless current feedback is employed for reliable torque control, with multi-modal penalty cost surfaces, in EV high performance tracking and target ranging. Application of the classical Powell Conjugate Direction optimization method is first discussed and its inaccuracy in dynamical parameter identification is illustrated for multimodal cost surfaces. This is used for comparison with the more accurate Fast Simulated Annealing/Diffusion (FSD) method, presented here, in terms of the returned parameter estimates. Details of the FSD development and application to the BLMD parameter estimation problem based on the minimum quantized parameter step sizes from noise considerations are provided. The accuracy of global parameter convergence estimates returned, cost function evaluation and the algorithm run time are presented. Validation of the FSD identification strategy is provided by excellent correlation of BLMD model simulation trace coherence with experimental test data at the optimal estimates and from cost surface simulation.
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Sivagami, Arasu, Michael Angelo Kandavalli, and Bhaskarrao Yakkala. "Design and Evaluation of an Automated Monitoring and Control System for Greenhouse Crop Production." In Next-Generation Greenhouses for Food Security. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97316.
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An embedded system integrated with sensors based on nanomaterial is proposed for closely monitoring and control microclimate parameters 24 hours a day to maximise production over the whole crop growth season by introducing greenhouse for the cultivation of plants or specific plant species. The system will also eliminate errors in human intervention to optimise production of crops. This system consists of sensors and actuators, an Analogue to Digital Converter (ADC) and a Raspberry Pi. The system will determine whether a defined threshold is passed by any climate parameter and systematically changes via the controller. The current work reduces human input through automated irrigation to optimally utilize a scarce resource, namely water. Climatic parameters for plant growth such as, moisture, humidity, temperature, water pressure in drip pipe, soil salinity etc. are monitored and optimized. Furthermore, work was extended to include GSM to control the entire farm remotely. For its success, it is very important to choose a greenhouse location. For instance, the problems are quite different when choosing an adjoining greenhouse, for instance a sunroom or greenhouse. The greenhouse location should be chosen for sunlight, proximity to power and water sources, wind, drain and freeze pockets, and the proximity of the garden and house. The intention behind accomplishment and devise of GSM based Fertigation System is to construct and evaluate the requirement of water in the yield as farming is the major resource of production which habitually depends on the water accessibility. Irrigation of water is usually done by manual method. To ease the work of the farmer GSM based automatic Fertigation (includes chemigation too) system can be implemented so that water wastage can be reduced and also the fertilizer can be added accordingly. Also the Soil Salinity can be checked and reduced if exceeds certain limit. By using GSM, only GSM command via GSM mobile can control the start and stop action of a motor that feeds the field with the water. GSM is used for controlling the entire process and the entire system backbone. It can be used from any distance to control irrigation. The results are assessed by electronic simulator PROTEUS using the desired optimised parameters, the design of this automated greenhouse system with PIC controller. As the inputs to the microcontroller and as an LCD screen record the respective outputs, the model produces a soil moisture sensor, light sensor and temperature sensor. The system performance is accurate and repeatable for measuring and controlling the four parameters that are crucial for plant growth - temperature, humidity, soil moisture and light intensity. With the reduction in electricity consumption, maintenance and complexity, and a flexible and precise environment control form for agriculture, the new system successfully cured quite a couple of defects in existing systems. Nano composite film sensors (Graphene and Graphene mixed in order to optimise the input of fertilisers for chemical composition determination. Using nano technology in agriculture enforces the firm bond between the engineer and farmer. Nano material film-based gas sensors were used to measure the presence of oxygen and CO2.using graphene nano composite sensors integrated into an embedded system, to detect the presence and levels of gases. Improve crop growth with combined red and blue light for lighting under the leavened and solar-powered LED lighting modules. This was achieved by graph/solar cells. The light was measured at the photosynthesis flux (PPFD) of 165 μmol m-2 s-1 by 10 cm of its LED module. LED lights were provided between 4:00 a.m. and 4:00 p.m. in the daytime treatments and night treatments from 10 to 10 hours. The use of the nighttime interlumination of LEDs was also economical than the interlumination of charts. Thus, nightlighting LEDs can effectively improve plant growth and output with less energy than the summer and winter times. Solar panels are best functioning during times of strong sunlight today, but begin to wan when they become too hot and cloudy. By allowing Solar Panels to produce electricity during harsh weather conditions and increase efficiency, a breakthrough in graphene-based solar panels can change everything. Ultimately with a fully autonomous system, agricultural productivity and efficiency, the length of the growing season, energy consumption and water consumption were recorded and monitored by exporting the data over GSM environment. With the steady decrease in the cost of high-performing hardware and software, the increased acceptance of self-employed farming systems, and the emerging agricultural system industry, the results will be reliable control systems covering various aspects of quality and production quantity.
Conference papers on the topic "Self-evaluation maintenance model"
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Ebmeyer, Carsten, Jens Friedrichs, Tobias Wensky, and Uwe Zachau. "Evaluation of Total Engine Performance Degradation Based on Modular Efficiencies." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45839.
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The current maintenance and overhaul of large civil jet engines is completely based on-condition and is widely customized to the individual requirements of the operation. Therefore, a very important factor for an effective and economic engine maintenance program is the investigation and appreciation of the current engine condition, as well as its individual deterioration mechanism. This paper is introducing a method to analyze the engine performance deterioration between two typical off-wing maintenance events (shop visits) so as to draw conclusions for maintenance planning and operation. In order to perform a precise evaluation the performance analysis is conducted on a modular level. Therefore the engine is divided into the following major modules: FAN, LPC, HPC, combustor, HPT, LPT and exhaust nozzle. The basis for the evaluation is the overhauled engine condition after a shop visit (pass-off test run) and the deteriorated engine condition after operation (incoming test run). These two points in the engine life cycle provide specific engine conditions that are to be analyzed by scientific and commercial software, and combined with a self-developed engine performance model in order to obtain the desired results: The individual engine deterioration during operation demonstrated by the differences of the modular performance between incoming test run and the last pass-off test run. In addition, to ensure the continuous monitoring of the performance status between the two test runs, it is important to analyze the “on-wing operation”. This is done using MTU’s Engine Trend Monitoring (ETM) system, which generates performance data based on the available in-flight data. In this paper an analysis example is used to present the analytic method and the obtained results. Reasons of deterioration are evaluated separately in reference to different environmental influences from specific geographical regions. In summary this paper introduces a solution to track the total engine performance based on modular evaluation values, starting at improvements for pass-off and incoming test runs as well as performance degradation during the on-wing time.
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Ahlroos, T., and R. Parikka. "Reliability Analysis Based on Crosstabulation: A Novel Method." In World Tribology Congress III. ASMEDC, 2005. http://dx.doi.org/10.1115/wtc2005-63849.
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By choosing the critical components, the maintenance and service operations can be directed to the most relevant parts of a facility or a process. Traditionally in definition of critical components reliability techniques, such as fault mode effect analysis, fault mode effect and criticality analysis or fault tree analysis, have been used. The disadvantage of these methods is laborious of the analysis and deficient available statistic data. The determination of critical components can be carried out by new reliability analysis method developed by VTT Technical Research Centre of Finland, which is based on the self-evaluation by the operation personnel and crosstabulation of the affecting factors in a similar manner as a decision matrix.
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Guo, Haoxin, Junjie Wang, and Chengdong Liu. "Evaluation on anti-collision performance of multi-level bumper type anti-collision device." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.0432.
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<p>An innovative Multi-level bumper and energy-consuming system (MBES) with corrosion-resistant steel floating caisson is proposed as protective structures for bridge piers against ship collision in this paper. MBES is provided with a three-level anti-collision module which consists of a corrugated-type energy-absorbing base, rubber fender, corrosion-resistant steel box filled with pre-compressed rubber tire. MBES is assembled in segments, exhibiting good energy absorbing and highly designable properties. This paper aims to evaluate the effectiveness of MBES adopted in a continuous beam bridge using finite element models. Based on the numerical model, the oblique collision situation at different positions were studied. Numerical results indicate the obvious advantages of the device by comparing peak impact force and impact duration. Significantly decrement of the peak impact force and effectively prolonged impact process indicate the superior performance of the device. Multi-level anti-collision fortification, the modular fabrication and replacement, simple maintenance, strong self-floating ability and excellent corrosion resistance make MBES very effective as a bridge protection structure in ship collision.</p>