Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features

Fault diagnosis of planetary gearbox based on acoustic signals

(2021) Jiachi Yao et al.   APPLIED ACOUSTICS

Novel Methodology for Condition Monitoring of Gear Wear Using Supervised Learning and Infrared Thermography

(2020) Emmanuel Resendiz-Ochoa et al.   Applied Sciences-Basel

A comparison between psychoacoustic parameters and condition indicators for machinery fault diagnosis using vibration signals

(2020) Pedro Poveda-Martínez et al.   APPLIED ACOUSTICS

Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots

(2020) Jianyu Long et al.   JOURNAL OF MANUFACTURING SYSTEMS

Condition classification of heating systems valves based on acoustic features and machine learning

(2020) Primož Potočnik et al.   APPLIED ACOUSTICS

A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions

(2019) Stephan Schmidt et al.   APPLIED ACOUSTICS

Compound gear-bearing fault feature extraction using statistical features based on time-frequency method

(2018) Laxmikant S. Dhamande et al.   MEASUREMENT

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An improved electromechanical spectral signature for monitoring gear-based systems driven by an induction machine

(2018) Walid Touti et al.   APPLIED ACOUSTICS

Diagnosis methodology for identifying gearbox wear based on statistical time feature reduction

(2017) Juan Jose Saucedo-Dorantes et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Thermal analysis MLP neural network based fault diagnosis on worm gears

(2016) Tayyab Waqar et al.   MEASUREMENT

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings

(2015) Pramod Bangalore et al.   IEEE Transactions on Smart Grid

Pitting detection in worm gearboxes with vibration analysis

(2014) Faris Elasha et al.   ENGINEERING FAILURE ANALYSIS

Gearbox Tooth Cut Fault Diagnostics Using Acoustic Emission and Vibration Sensors — A Comparative Study

(2014) Yongzhi Qu et al.   SENSORS

Motor bike piston-bore fault identification from engine noise signature analysis

(2013) D.P. Jena et al.   APPLIED ACOUSTICS

Feature-level fusion based on wavelet transform and artificial neural network for fault diagnosis of planetary gearbox using acoustic and vibration signals

(2013) M Khazaee et al.   INSIGHT

Multiclass fault diagnosis in gears using support vector machine algorithms based on frequency domain data

(2013) S. Bansal et al.   MEASUREMENT

Condition monitoring of worm gears

(2012) M. Elforjani et al.   APPLIED ACOUSTICS

Spectral Regression Based Fault Feature Extraction for Bearing Accelerometer Sensor Signals

(2012) Zhanguo Xia et al.   SENSORS

Health Condition Prediction of Gears Using a Recurrent Neural Network Approach

(2010) Zhigang Tian et al.   IEEE TRANSACTIONS ON RELIABILITY

Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection

(2010) Meik Schlechtingen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of spur bevel gear box using artificial neural network (ANN), and proximal support vector machine (PSVM)

(2009) N. Saravanan et al.   APPLIED SOFT COMPUTING

Faulted gear identification of a rotating machinery based on wavelet transform and artificial neural network

(2008) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine

(2008) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Empirical analysis of support vector machine ensemble classifiers

(2008) Shi-jin Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS