An explainable artificial intelligence approach for unsupervised fault detection and diagnosis in rotating machinery

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

(2021) Tianfu Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A general anomaly detection framework for fleet-based condition monitoring of machines

(2020) Kilian Hendrickx et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection

(2020) Tommaso Barbariol et al.   Energies

Evaluation of Time and Frequency Condition Indicators from Vibration Signals for Crack Detection in Railway Axles

(2020) Réne-Vinicio Sánchez et al.   Applied Sciences-Basel

Understanding and Improving Deep Learning-Based Rolling Bearing Fault Diagnosis with Attention Mechanism

(2019) Xiang Li et al.   SIGNAL PROCESSING

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

(2019) Wei et al.   Entropy

Techniques for interpretable machine learning

(2019) Mengnan Du et al.   COMMUNICATIONS OF THE ACM

Interpretable Convolutional Neural Network Through Layer-wise Relevance Propagation for Machine Fault Diagnosis

(2019) John Grezmak et al.   IEEE SENSORS JOURNAL

Robust Interpretable Deep Learning for Intelligent Fault Diagnosis of Induction Motors

(2019) Firas Ben Abid et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Statistical Spectral Analysis for Fault Diagnosis of Rotating Machines

(2018) Lucio Ciabattoni et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Feature ranking for multi-fault diagnosis of rotating machinery by using random forest and KNN

(2018) René-Vinicio Sánchez et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

(2018) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Artificial intelligence for fault diagnosis of rotating machinery: A review

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

A two-stage feature selection and intelligent fault diagnosis method for rotating machinery using hybrid filter and wrapper method

(2018) Xiaolong Zhang et al.   NEUROCOMPUTING

Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning

(2018) Pei Cao et al.   IEEE Access

Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine

(2018) Megha Singh et al.   MEASUREMENT

Adaptive event-triggered anomaly detection in compressed vibration data

(2018) Yang Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machine learning methods for wind turbine condition monitoring: A review

(2018) Adrian Stetco et al.   RENEWABLE ENERGY

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

Current Noise Cancellation for Bearing Fault Diagnosis Using Time Shifting

(2017) Fardin Dalvand et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection

(2017) Yongbo Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Loda: Lightweight on-line detector of anomalies

(2015) Tomáš Pevný   MACHINE LEARNING

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A review of feature selection methods on synthetic data

(2012) Verónica Bolón-Canedo et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A review on empirical mode decomposition in fault diagnosis of rotating machinery

(2012) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Isolation-Based Anomaly Detection

(2012) Fei Tony Liu et al.   ACM Transactions on Knowledge Discovery from Data

Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks

(2011) Kui Zhang et al.   NEUROCOMPUTING

A multidimensional hybrid intelligent method for gear fault diagnosis

(2009) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Gear crack level identification based on weighted K nearest neighbor classification algorithm

(2009) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING