Canonical correlation analysis of dimension reduced degradation feature space for machinery condition monitoring

Bearing signal models and their effect on bearing diagnostics

(2022) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Comparison of Machine Health Indicators Based on the Impulsiveness of Vibration Signals

(2021) Bingchang Hou et al.   Acoustics Australia

Fisher’s discriminant ratio based health indicator for locating informative frequency bands for machine performance degradation assessment

(2021) Tongtong Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring

(2021) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalized Gini indices: Complementary sparsity measures to Box-Cox sparsity measures for machine condition monitoring

(2021) Bingchang Hou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Unsupervised Health Indicator Construction by a Novel Degradation-Trend-Constrained Variational Autoencoder and Its Applications

(2021) Yi Qin et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Research on sparsity indexes for fault diagnosis of rotating machinery

(2020) Yonghao Miao et al.   MEASUREMENT

Health indicator construction by quadratic function-based deep convolutional auto-encoder and its application into bearing RUL prediction

(2020) Dingliang Chen et al.   ISA TRANSACTIONS

Investigations on quasi-arithmetic means for machine condition monitoring

(2020) Bingchang Hou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

(2019) Wennian Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching

(2019) Wentao Mao et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

(2019) Longting Chen et al.   JOURNAL OF MANUFACTURING SYSTEMS

Using theoretical ROC curves for analysing machine learning binary classifiers

(2019) Luma Omar et al.   PATTERN RECOGNITION LETTERS

Spectral L2 / L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals

(2018) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel tracking deep wavelet auto-encoder method for intelligent fault diagnosis of electric locomotive bearings

(2018) Shao Haidong et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A statistical methodology for the design of condition indicators

(2018) Jérôme Antoni et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Locally Linear Embedding on Grassmann Manifold for Performance Degradation Assessment of Bearings

(2017) Meng Ma et al.   IEEE TRANSACTIONS ON RELIABILITY

Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification

(2017) Yonghao Miao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

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

(2017) Liang Guo et al.   NEUROCOMPUTING

A geometrical investigation on the generalized l p /l q norm for blind deconvolution

(2017) Xiaodong Jia et al.   SIGNAL PROCESSING

A probability evaluation method of early deterioration condition for the critical components of wind turbine generator systems

(2016) Yaogang Hu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The infogram: Entropic evidence of the signature of repetitive transients

(2016) Jerome Antoni   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Feature Mining and Health Assessment for Gearboxes Using Run-Up/Coast-Down Signals

(2016) Ming Zhao et al.   SENSORS

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

(2015) Naipeng Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Non-Probabilistic Metric Derived From Condition Information for Operational Reliability Assessment of Aero-Engines

(2015) Chuang Sun et al.   IEEE TRANSACTIONS ON RELIABILITY

Detection of weak transient signals based on wavelet packet transform and manifold learning for rolling element bearing fault diagnosis

(2015) Yi Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings

(2013) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A new procedure for using envelope analysis for rolling element bearing diagnostics in variable operating conditions

(2012) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING