A feasible strain-history extraction method using machine learning for the durability evaluation of automotive parts

A dual-tree complex wavelet enhanced convolutional LSTM neural network for structural health monitoring of automotive suspension

(2019) Huan Luo et al.   MEASUREMENT

Evaluation of Energy-Based Model Generated Strain Signals for Carbon Steel Spring Fatigue Life Assessment

(2019) Yat Kong et al.   Metals

Failure detection technique under random fatigue loading by machine learning and dual sensing on symmetric structure

(2018) Dong-Won Jang et al.   INTERNATIONAL JOURNAL OF FATIGUE

Research on Load Spectrum Construction of Bench Test Based on Automotive Proving Ground

(2017) Xiaobing Yang et al.   JOURNAL OF TESTING AND EVALUATION

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Model selection and overfitting

(2016) Jake Lever et al.   NATURE METHODS

Condition monitoring and remaining useful life prediction using degradation signals: revisited

(2013) Nan Chen et al.   IIE TRANSACTIONS

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

(2009) Zhigang Tian   JOURNAL OF INTELLIGENT MANUFACTURING

Uncertainty in fatigue life prediction of structures subject to Gaussian loads

(2008) A. Bengtsson et al.   PROBABILISTIC ENGINEERING MECHANICS

Wireless Monitoring of Automobile Tires for Intelligent Tires

(2008) Ryosuke Matsuzaki et al.   SENSORS