End-to-end unsupervised fault detection using a flow-based model

A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis

(2020) Yu Wang et al.   Applied Sciences-Basel

Imbalanced sample fault diagnosis of rotating machinery using conditional variational auto-encoder generative adversarial network

(2020) You-ren Wang et al.   APPLIED SOFT COMPUTING

Deep digital twins for detection, diagnostics and prognostics

(2020) Wihan Booyse et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis

(2020) Chenyu Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transfer learning for Remaining Useful Life Prediction Based on Consensus Self-Organizing Models

(2020) Yuantao Fan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Machinery Health Monitoring Based on Unsupervised Feature Learning via Generative Adversarial Networks

(2020) Jun Dai et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

From fault detection to one-class severity discrimination of 3D printers with one-class support vector machine

(2020) Chuan Li et al.   ISA TRANSACTIONS

Kernel flexible and displaceable convex hull based tensor machine for gearbox fault intelligent diagnosis with multi-source signals

(2020) Zhiyi He et al.   MEASUREMENT

A method for mechanical fault recognition with unseen classes via unsupervised convolutional adversarial auto-encoder

(2020) Tongyang Pan et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection

(2020) Jingyao Wu et al.   IEEE Transactions on Industrial Informatics

FaultFace: Deep Convolutional Generative Adversarial Network (DCGAN) based Ball-Bearing failure detection method

(2020) Jairo Viola et al.   INFORMATION SCIENCES

A dual-LSTM framework combining change point detection and remaining useful life prediction

(2020) Zunya Shi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Online detection for bearing incipient fault based on deep transfer learning

(2019) Wentao Mao et al.   MEASUREMENT

A systematic methodology for Prognostic and Health Management system architecture definition

(2019) Rui Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Vibration analysis for large-scale wind turbine blade bearing fault detection with an empirical wavelet thresholding method

(2019) Zepeng Liu et al.   RENEWABLE ENERGY

Detecting Gas Turbine Combustor Anomalies Using Semi-supervised Anomaly Detection with Deep Representation Learning

(2019) Weizhong Yan   Cognitive Computation

Novel Leakage Detection by Ensemble CNN-SVM and Graph-Based Localization in Water Distribution Systems

(2018) Jiheon Kang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Early Fault Detection Approach With Deep Architectures

(2018) Weining Lu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Adaptive kernel density-based anomaly detection for nonlinear systems

(2018) Liangwei Zhang et al.   KNOWLEDGE-BASED SYSTEMS

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

(2018) Feng Jia et al.   NEUROCOMPUTING

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

Fault detection and identification method using observer-based residuals

(2018) Haedong Jeong et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

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

Bayesian Networks in Fault Diagnosis

(2017) Baoping Cai et al.   IEEE Transactions on Industrial Informatics

Reliability model of a component equipped with PHM capabilities

(2017) Michele Compare et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

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

An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection

(2015) Liangwei Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

(2013) Xuewu Dai et al.   IEEE Transactions on Industrial Informatics

Fault detection in variable speed machinery: Statistical parameterization

(2009) Jordan McBain et al.   JOURNAL OF SOUND AND VIBRATION