Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects

Abstract

As the core foundation of reliability engineering and one of the most crucial aspects of general quality, reliability has been attracting increasing attention from industry and academia. Numerous publications on reliability analysis (RA) have appeared in academic journals, conference proceedings, and technical reports. However, there has not been a systematic summary that covers RA data, models, methods, indicators, and software comprehensively. To fill this gap, this paper analyzed the challenges and the state of the art, as well as determined the future prospects for research on RA. This paper introduces the features of modern complex electromechanical systems (CES), then summarizes the current challenges to the RA of CES. Next, it reviews the latest developments, such as reliability theories, models, methods, and software, then summarizes and compares their advantages and limitations. Finally, it discusses future prospects from the perspectives of reliability data, modeling, decoupling, evaluation indicators, and timely prediction. It is expected that this paper would serve as an introduction to RA for researchers new to this field and as a summary of the current frontiers of RA for experienced researchers.

Physics‐data‐fusion based decoupling model for coupled faults of complex electromechanical systems

“…Decoupling CF → to decendingly rank the fault impact [𝐹𝐼 1 , …, 𝐹𝐼 𝑖 , …, 𝐹𝐼 𝑁 ] → to index the corresponding fault cause (1) where [𝐹𝐼 1 , … , 𝐹𝐼 𝑁 ] is an array describing the current possible effect contribution of every single fault.…”

“…These complex systems are built primarily with discrete components to realise coupled, highly corrective, distributed, and complex electromechanical system networks that transmit power, energy, and information. The functional components of such systems are coupled, so that even a minor disturbance in one component can affect other components and cause a noticeable decrease in system reliability 1 . Due to the coupling of functional logic, faults in various components often propagate and couple with one another.…”

“…The functional components of such systems are coupled, so that even a minor disturbance in one component can affect other components and cause a noticeable decrease in system reliability. 1 Due to the coupling of functional logic, faults in various components often propagate and couple with one another. The appearance of fault representations and consequences that individual faults do not have also pose challenges.…”

A Physics-Based Tweedie Exponential Dispersion Process Model for Metal Fatigue Crack Propagation and Prognostics

“…In the field of engineering design, reliability is a crucial concept. Reliability is generally defined as the probability of a product or structure remaining free from failure in specific circumstances [1]. For reliability assessment, fatigue reliability analysis has long been a central focus, as approximately 90% of structural failures in metal components can be attributed to fatigue crack propagation.…”

Understanding the Reliability of the Complex System Having Two Standby Units: A Transdisciplinary Approach

“…In the meanwhile, Maihulla et al [16] examined a three-system reverse osmosis filtering system's reliability metrics. Wang et al [17] clarified the investigation of modern electromechanical systems and a thorough review of current developments in reliability theories, models, procedures, and related software tools. They carefully examined the benefits and drawbacks of different approaches in their study.…”