Prognostics and health management of electronics

By Pradeep Lall, M. Hande, C. Bhat, J. Suhling, Nokibul Islam'2 Auburn. International Symposium on Advanced Packaging Materials, 2006

618 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2a96e7bdc5cd72b2eabd933d7451a01d7b49e9ac

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In Electrical and Electronic Engineering

Citations in the corpus

Transitioning to Physics-of-Failure as a Reliability Driver in Power Electronics (2014, methodology): “The Electronic Prognostics and Health Management Research Center at the University of Maryland has categorized the main approaches as: 1) use of fuses and canary devices; 2) built-in-test (BIT); 3) monitoring and reasoning of failure precursors; and 4) modeling accumulated damage based on measured l”
A prognostics and health management roadmap for information and electronics-rich systems (2010, methodology): “The data-driven approaches use statistical pattern recognition and machine-learning to detect changes in parameter data, thereby enabling diagnostic and prognostic measures to be calculated [21].”
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].”
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”
A review on prognostics and health monitoring of proton exchange membrane fuel cell (2017, background): “tems, predict when failure may occur, improve reliability, and provide a cost effective strategy for scheduled maintenance [40].”
A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem (2016, background): “R ECENTLY, prognostics and health management (PHM) was proposed to evaluate the reliability of a product/system in its real operation conditions [1].”
Remaining useful life estimation - A review on the statistical data driven approaches (2011, methodology): “In Pecht (2008), he put the prognostic techniques under the categories of physics of failure, data driven and fusion.”
Physics-of-failure-based prognostics for electronic products (2009, background): “Some example wear-outs failure mechanisms for electronics are presented in Table 1 (Vichare and Pecht, 2006).”
An overview of time-based and condition-based maintenance in industrial application (2012, methodology): “while, Pecht (2008) in his book discussed in detail the application of PHM condition monitoring and prognostics for electronic”
Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks (2020, neutral): “predicting faults and conducting predictive maintenance [4].”
Residual life estimation based on bivariate Wiener degradation process with time-scale transformations (2014, background): “In PHM, RL estimation often relates to find the probability density function (PDF) or the mean of the RL [2].”
A review of diagnostic and prognostic capabilities and best practices for manufacturing (2016, background): “, usage, temperature, and vibration) (Vichare and Pecht 2006).”