Degradation Data–Driven Analysis for Estimation of the Remaining Useful Life of a Motor

Author:

Banerjee Ahin1,Gupta Sanjay K.2,Putcha Chandrasekhar3

Affiliation:

1. Ph.D. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, Uttar Pradesh 221005, India.

2. Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, Uttar Pradesh 221005, India (corresponding author).

3. Professor, Dept. of Civil and Environmental Engineering, California State Univ. Fullerton, Fullerton, CA 92831.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

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4. Aymaz S. and C. Kose. 2018. “Multi-focus image fusion using stationary wavelet transform (SWT) with principal component analysis (PCA).” In Proc. 10th Int. Conf. on Electrical and Electronics Engineering 1176–1180. New York: IEEE.

5. Sensor-based degradation prediction and prognostics for remaining useful life estimation: Validation on experimental data of electric motors;Barbieri F.;Int. J. Progn. Health Manage.,2015

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