Prognostics and health management of electronics

By Nikhil M. Vichare, Michael G. Pecht. IEEE transactions on components and packaging technologies, 2008

619 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/ea0377160462b12d4afdbfdcd6224e8638c15990

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In Control and Systems Engineering

In Safety, Risk, Reliability and Quality

Citations in the corpus

Remaining useful life estimation - A review on the statistical data driven approaches (2011, methodology): “, 2006; Wang, 2007a,b; Wang and Zhang, 2008), and prognostics and health management (Dong and He, 2007a; Pecht, 2008; Pecht and Jaai, 2010; Gašperin et al., 2011).”
Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model (2013, neutral): “Inspection cycle N RUL(N) Actual RUL [RULlower(N),RULupper(N)] Absolute prediction error 31 14 19 [12,15] 5 35 15 15 [13,17] 0 39 9 11 [7,10] 2 44 7 6 [5,8] 1 48 3 2 [1,4] 1”
Remaining Useful Life Estimation Based on a Nonlinear Diffusion Degradation Process (2012, methodology): “There are many methods for estimating RUL [3], [9], [41].”
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on the Wiener Process with Measurement Error (2014, background): “Prognostics and health management (PHM) has emerged as one of the key enablers to improve system safety, increase system operations reliability and mission availability, decrease unnecessary maintenance actions, and reduce system life-cycle costs [8,9].”
A prognostics and health management roadmap for information and electronics-rich systems (2010, methodology): “The data–driven approaches use statistical learning and machine– learning algorithms to detect changes in data and identify the deviation from normal or healthy conditions, thereby enabling diagnostic and prognostic measures to be calculated [1].”
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem (2016, background): “Applications of PHM have succeeded in electronics [2], [3], military [4], [5], nuclear plant [6], power industry [7], lithium battery [8], [9], consumer products [10], and other applications [11], [12].”
Ageing and Failure Modes of IGBT Modules in High-Temperature Power Cycling (2011, background): “Health monitoring is another important point of study [26]– [29].”
Physics-of-Failure, Condition Monitoring, and Prognostics of Insulated Gate Bipolar Transistor Modules: A Review (2015, background): “available, the ability to determine RUL permits more flexibility in decision making, while minimizing the risk of failure [71]– [73].”