Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice

Enrico Zio

Reliability Engineering and System Safety, 2022, vol. 218, issue PA

Abstract: We are performing the digital transition of industry, living the 4th industrial revolution, building a new World in which the digital, physical and human dimensions are interrelated in complex socio-cyber-physical systems. For the sustainability of these transformations, knowledge, information and data must be integrated within model-based and data-driven approaches of Prognostics and Health Management (PHM) for the assessment and prediction of structures, systems and components (SSCs) evolutions and process behaviors, so as to allow anticipating failures and avoiding accidents, thus, aiming at improved safe and reliable design, operation and maintenance.

Keywords: Prognostics and Health Management (PHM); Predictive maintenance; Recurrent Neural Networks (RNNs), Reservoir Computing (RC); Generative Adversarial Networks (GANs); Deep Neural Networks (DNNs); Optimal Transport (OT) (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (82)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:218:y:2022:i:pa:s0951832021006153

DOI: 10.1016/j.ress.2021.108119

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