Sustainable manufacturing, maintenance policies, prognostics and health management: a literature review

Author(s):  
Pascal Vrignat ◽  
Frédéric Kratz ◽  
Manuel Avila
Author(s):  
Kai Goebel ◽  
Ravi Rajamani

As the field of PHM matures, it needs to be aware of the regulations, policies, and standards that will both impose boundaries as well as provide guidance for operations. All three - regulations, policies, and standards - provide information on how to design or operate something, but with different degrees of enforceability. Policies include both public policies as well as organizational policies. Operators may be required to adhere to public policies(say, an environmental policy which provides guidance for the pollution prevention act (the latter is a US law)) whereas organisational often reflect policies that come out of strategic considerations within private organizations (such as maintenance policies). Regulations (such as aeronautics or nuclear energy) typically impose binding rules of engagement and are imposed by regulatory bodies that are responsible for a particular field. Standards, in contrast, are community-consensus guidelines that are meant to provide benefit to the community by describing best practices. Adoption of such guidelines is entirely voluntary but may provide benefits by not having to reinvent the wheel and for finding common ground amongst other adopters. Awareness of both guidelines and barriers will enable practitioners in adopting best practices within the legal constraints. This paper provides an overview of the current regulations, policies, and standards in the field of Prognostics and Health Management.


2019 ◽  
Vol 19 (1) ◽  
pp. 68-84 ◽  
Author(s):  
Hyun Su Sim ◽  
Jun-Gyu Kang ◽  
Yong Soo Kim

2020 ◽  
Vol 14 ◽  
Author(s):  
Dangbo Du ◽  
Jianxun Zhang ◽  
Xiaosheng Si ◽  
Changhua Hu

Background: Remaining useful life (RUL) estimation is the central mission to the complex systems’ prognostics and health management. During last decades, numbers of developments and applications of the RUL estimation have proliferated. Objective: As one of the most popular approaches, stochastic process-based approach has been widely used for characterizing the degradation trajectories and estimating RULs. This paper aimed at reviewing the latest methods and patents on this topic. Methods: The review is concentrated on four common stochastic processes for degradation modelling and RUL estimation, i.e., Gamma process, Wiener process, inverse Gaussian process and Markov chain. Results: After a briefly review of these four models, we pointed out the pros and cons of them, as well as the improvement direction of each method. Conclusion: For better implementation, the applications of these four approaches on maintenance and decision-making are systematically introduced. Finally, the possible future trends are concluded tentatively.


Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Pingfeng Wang ◽  
Chao Hu

This paper develops a Copula-based sampling method for data-driven prognostics and health management (PHM). The principal idea is to first build statistical relationship between failure time and the time realizations at specified degradation levels on the basis of off-line training data sets, then identify possible failure times for on-line testing units based on the constructed statistical model and available on-line testing data. Specifically, three technical components are proposed to implement the methodology. First of all, a generic health index system is proposed to represent the health degradation of engineering systems. Next, a Copula-based modeling is proposed to build statistical relationship between failure time and the time realizations at specified degradation levels. Finally, a sampling approach is proposed to estimate the failure time and remaining useful life (RUL) of on-line testing units. Two case studies, including a bearing system in electric cooling fans and a 2008 IEEE PHM challenge problem, are employed to demonstrate the effectiveness of the proposed methodology.


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