Principal Component Analysis and Independent Component Analysis-Based Prognostic Health Monitoring of Electronic Assemblies Subjected to Simultaneous Temperature-Vibration Loads

[1]  Alaa Mohamed Riad,et al.  Conception and implementation of a data-driven prognostics algorithm for safety–critical systems , 2019, Soft Comput..

[2]  E. Oja,et al.  Independent Component Analysis , 2013 .

[3]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[4]  Maryam Farajzadeh-Zanjani,et al.  Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries , 2016, 2016 IEEE International Conference on Prognostics and Health Management (ICPHM).

[5]  Srdjan Stankovic,et al.  Instantaneous frequency in time-frequency analysis: Enhanced concepts and performance of estimation algorithms , 2014, Digit. Signal Process..

[6]  R. Dudek,et al.  Application-Driven Reliability Research of Next Generation for Automotive Electronics: Challenges and Approaches , 2018 .

[7]  Pradeep Lall,et al.  Prognostics using Kalman-Filter models and metrics for risk assessment in BGAs under shock and vibration loads , 2010, 2010 Proceedings 60th Electronic Components and Technology Conference (ECTC).

[8]  K. Goebel,et al.  Resistance spectroscopy-based condition monitoring for prognostication of high reliability electronics under shock-impact , 2009, 2009 59th Electronic Components and Technology Conference.

[9]  Allan Kardec Barros,et al.  Independent Component Analysis and Blind Source Separation , 2007, Signal Processing.

[10]  Rui Li,et al.  A comparative study of Data-driven Prognostic Approaches: Stochastic and Statistical Models , 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

[11]  Boualem Boashash,et al.  Time-Frequency Signal Analysis and Processing: A Comprehensive Reference , 2015 .

[12]  Hamid Reza Karimi,et al.  Vibration analysis for bearing fault detection and classification using an intelligent filter , 2014 .

[13]  Zhigeng Fang,et al.  Remaining useful life (RUL) estimation of electronic solder joints in rugged environment under random vibration , 2020 .

[14]  M. Pecht,et al.  Health Monitoring and Prognostics of Electronics Subject to Vibration Load Conditions , 2009, IEEE Sensors Journal.

[15]  Hui Li,et al.  A prediction method for the real-time remaining useful life of wind turbine bearings based on the Wiener process , 2018, Renewable Energy.

[16]  Jong-Myon Kim,et al.  A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models , 2018, Reliab. Eng. Syst. Saf..

[17]  Alaa Mohamed Riad,et al.  Towards online data-driven prognostics system , 2018 .