A systemic approach to integrated E-maintenance of large engineering plants

Verma, Ajit Kumar; Srividya, A.; Ramesh, P.

doi:10.1007/s11633-010-0173-9

Cited by 19 publications

(11 citation statements)

References 21 publications

(24 reference statements)

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“…Another way is developing assistance program. A condition and time based maintenance model and framework is proposed and domain knowledge based decision making for maintenance is highlighted [194]. The Bayesian networks based assistance programs for dependability, risk analysis and maintenance is reviewed [195].…”

Section: Modern Methods For Maintenancementioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

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Though Cyber Physical Systems (CPS) become very popular in last the decade, dependability of CPS is still a critical issue and related survey is rare. We try to spell out the jigsaw of technologies and figure out the technical trends of dependable self-managing CPS. This survey first recalls the motivation and the similar concepts. By analyzing four generic architectures, we summarize the common characteristics and related assurance technologies, and propose a more generic environment-in-loop processing flow of CPS and a formal interaction flow between physical space and cyber space. Further, the similarity between correctness and dependability is formally analyzed and the new five research questions of dependable self-managing CPS are presented. Then we review the critical technologies and related correctness verification & validation (V&V) methods, the architectures for dependable self-managing CPS. Further, the detail dependability management and V&V technologies are surveyed, which covers the areas of running-time fault management methods and whole life cycle V&V technologies, maintenance and available tool sets. For holistic CPS development, Modeling techniques and MDE (model driven engineering) based V&V methods are analyzed in detail. Then we complete the jigsaw of technologies and figure out the missing part. Further, we propose the technical challenges and the further direction. To our best knowledge, this is the first comprehensive survey on dependable self-managing CPS development and evaluation.

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Section: Modern Methods For Maintenancementioning

confidence: 99%

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Zhou¹,

Hou²,

Zhang³

et al. 2017

Preprint

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“…To reduce downtime, improve the environment, reduce waste and costs and increase process capability, emission spectra (ES) and overall equipment efficiency (OEE) evaluate the performance, as the main key performance indicators that the fleet maintenance needs for continuous improvement. Framework for e-maintenance [9]. To determine the impact on the environment and performance for each individual vehicle, maintenance, OEE, the four ES elements (Noise, NO x , Opacity (or PM) and CO 2 ), quality of service and availability are very important.…”

Section: Ecological Diesel Engines E-maintenancementioning

confidence: 99%

Ecological Predictive Maintenance of Diesel Engines

Simões¹,

Farinha²,

Fonseca³

2020

Diesel and Gasoline Engines

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The ecological predictive maintenance (EPM) of diesel engines is a great contribution to improve the environment and to stimulate good practices with good impact in the human health. The ecology is a rapidly developing scientific discipline with great relevance to a sustainable world, whose development is not complete as a mature theory. There are, however, general principles emerging that may facilitate the development of such theory. In the meantime, these principles can serve as useful guides for EPM. According to the state of the art, it can be stated that through prediction algorithms, the equipment's performance can be improved. To support this approach, it is necessary to implement a good condition monitoring maintenance. The result permits to maximise the time spacing between interventions and to increase the reliability levels. The condition variables of each equipment can be monitored according to their specificity, such as temperature, humidity, pollutant emissions (NO x ,CO 2 , HC and PM), emitted noise, etc. The environment where the equipment is inserted also must be considered. The assessment of the equipment's condition can be done by Hidden Markov Models (HMM), namely diesel engines. This chapter presents two algorithms-Viterbi and Baum-Welch algorithms-that, through the prediction of the equipment's condition, help to increase the efficiency of the maintenance planning.

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“…corrective and preventive maintenance), e-maintenance represents a new form of integration between e-business applications and new maintenance trends to improve the efficiency and effectiveness of the maintenance process. It provides an excellent platform for the integrated maintenance management system, particularly for plants and equipment operating over wide, geographically distributed areas (Verma et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

E-maintenance research: a multifaceted perspective

Aboelmaged

2015

Journal of Manufacturing Technology Management

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Purpose -The purpose of this paper is to develop a multifaceted perspective on e-maintenance research and practice over 12 years from 2002 to 2013. Design/methodology/approach -A qualitative research approach is conducted through analysing e-maintenance literature published in peer-review journals from 2002 to 2013 in operations management, information systems, computer science and engineering disciplines. Findings -A multifaceted perspective that reflects evolutionary, managerial, and technological domains of e-maintenance research has been emerged and explained. In addition, stages of e-maintenance process (i.e. integration, aggregation, and prediction) tend to synchronize with organizational levels (i.e. strategic, tactical, and operational) and stimulate the value of e-maintenance practices across the enterprise. However, there are many managerial and technological challenges that inhibit successful implementation of e-maintenance system. Practical implications -The present research offers managers and vendors a frame of reference that facilitates e-maintenance adoption and implementation. In addition, there is a need for theoretical as well as empirical research in the future to validate the multifaceted perspective in the present study and to obtain more insight into the nature of e-maintenance issues in various settings. Originality/value -The present paper is one of the first attempts to bridge the gaps in a currently cluttered field of e-maintenance research. It also provides both academics and practitioners with a useful framework that sustains rigorous e-maintenance research and practice.

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A systemic approach to integrated E-maintenance of large engineering plants

Cited by 19 publications

References 21 publications

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

A Comprehensive Technological Survey on Dependable Self-Managing CPS: The Decade of Researches on Correctness and Dependability

Ecological Predictive Maintenance of Diesel Engines

E-maintenance research: a multifaceted perspective

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