On the role of Prognostics and Health Management in advanced maintenance systems

Guillén, Antonio; Crespo, Adolfo; Macchi, Marco; Gómez, J.F.

doi:10.1080/09537287.2016.1171920

Cited by 86 publications

(36 citation statements)

References 35 publications

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“…In particular, the presented representation could be one of the enablers to the recently-formulated Synchro-push approach to production management, as described in [83]. Besides, it will be relevant to develop advanced maintenance systems featuring Prognostics and Health Management capabilities, combined with the modularization of supported functions and information to provide high flexibility for different applications in manufacturing [84,85]. Further research to better frame the role of manufacturing and logistics ontologies in production environments based on the Synchro-push paradigm is envisioned, in particular to understand the benefits brought by such an approach through its application to simulated and real industrial cases.…”

Section: Discussionmentioning

confidence: 99%

Modelling internal logistics systems through ontologies

Negri

Perotti

Fumagalli

et al. 2017

Computers in Industry

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Industry is facing an era characterised by unpredictable market changes and by a turbulent competitive environment. The key to compete in such a context is to achieve high degrees of responsiveness by means of high flexibility and rapid reconfiguration capabilities. The deployment of modular solutions seems to be part of the answer to face these challenges. Semantic modelling and ontologies may represent the needed knowledge representation to support flexibility and modularity of production systems, when designing a new system or when reconfiguring an existing one. Although numerous ontologies for production systems have been developed in the past years, they mainly focus on discrete manufacturing, while logistics aspects, such as those related to internal logistics and warehousing, have not received the same attention. The paper aims at offering a representation of logistics aspects, reflecting what has become a de-facto standard terminology in industry and among researchers in the field. Such representation is to be used as an extension to the already-existing production systems ontologies that are more focused on manufacturing processes. The paper presents the structure of the hierarchical relations within the examined internal logistics elements, namely Storage and Transporters, structuring them in a series of classes and sub-classes, suggesting also the relationships and the attributes to be considered to complete the modelling. Finally, the paper proposes an industrial example with a miniload system to show how such a modelling of internal logistics elements could be instanced in the real world.

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Section: Discussionmentioning

confidence: 99%

Modelling internal logistics systems through ontologies

Negri

Perotti

Fumagalli

et al. 2017

Computers in Industry

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“…In order to decrease downtime and cost, while increasing availability and safety of a reciprocating compressor, efficient maintenance is essential [1,2] since failures of such equipment can cause from production loss to human casualties [3,5]. Condition Based Maintenance (CBM) [6][7][8][9][10]…”

Section: Valves Are a Vital Part Of The Reciprocating Compressor As Tmentioning

confidence: 99%

Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements

et al. 2019

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Reciprocating compressors are critical components in the oil and gas sector, though their maintenance cost is known to be relatively high. Compressor valves are the weakest component, being the most frequent failure mode, accounting for almost half the maintenance cost. One of the major targets in industry is minimisation of downtime and cost, while maximising availability and safety of a machine, with maintenance considered a key aspect in achieving this objective. The concept of Condition Based Maintenance and Prognostics and Health Management (CBM/PHM) which is founded on the diagnostics and prognostics principles, is a step towards this direction as it offers a proactive means for scheduling maintenance. Despite the fact that diagnostics is an established area for reciprocating compressors, to date there is limited information in the open literature regarding prognostics, especially given the nature of failures can be instantaneous. This work presents an analysis of prognostic performance of several methods (multiple linear regression, polynomial regression, K-Nearest Neighbours Regression (KNNR)), in relation to their accuracy and variability, using actual temperature only valve failure data, an instantaneous failure mode, from an operating industrial compressor. Furthermore, a variation for Remaining Useful Life (RUL) estimation based on KNNR, along with an ensemble technique merging the results of all aforementioned methods are proposed. Prior to analysis, principal components analysis and statistical process control were employed to create ! ! and ! metrics, which were proposed to be used as health indicators reflecting degradation process of the valve failure mode and are proposed to be used for direct RUL estimation for the first time. Results demonstrated that even when RUL is relatively short due to instantaneous nature of failure mode, it is feasible to perform good RUL estimates using the proposed techniques.

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“…General process of PHM. Correlation with ISO 13374 (Guillén, 2016). escalation, and they are regarded as reactive barriers, or protection barriers, e.g.…”

Section: Safety Barriers and Classificationmentioning

confidence: 99%

Prognostic and health management for safety barriers in infrastructures: Opportunities and challenges

Zhang¹,

Liu²,

Barros³

et al. 2018

Safety and Reliability – Safe Societies in a Changing World

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Different types of safety barriers are deployed in many infrastructures to reduce the occurrences of hazards, and protect people, environment and other assets in case the unexpected events have occurred and the capacity of these barriers against hazards can be weakened by degradations or the failures related to changes over time. It is natural to adapt the approaches of Prognostic and Health Management (PHM) to monitor the conditions and measurable parameters of safety barriers, and predict their future performance by assessing the extent of degradations. This study aims to identify the uniqueness and possible challenges when implementing PHM on safety barriers. Definitions and classifications of safety barriers will be discussed with considering their installation environment in infrastructures, in order to reveal what kind of characteristics of barriers can lead to higher demand on prognosis and heath monitoring. Another objective of this paper is to review the qualitative and quantitative measures for the capacity and performance of safety barriers, and to explore the possible methods and research gaps in the assessments for different PHM strategies, taking account their effects on safety barriers, and effects on the infrastructures being protected by the barriers.

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On the role of Prognostics and Health Management in advanced maintenance systems

Cited by 86 publications

References 35 publications

Modelling internal logistics systems through ontologies

Modelling internal logistics systems through ontologies

Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements

Prognostic and health management for safety barriers in infrastructures: Opportunities and challenges

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