Intelligent fault diagnosis of rolling bearings based on clustering algorithm of fast search and find of density peaks

Vibration signal-based early fault prognosis: Status quo and applications

(2022) Yaqiong Lv et al.   ADVANCED ENGINEERING INFORMATICS

Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes

(2022) Yiwei Cheng et al.   APPLIED SOFT COMPUTING

An ensemble LSTM-based AQI forecasting model with decomposition-reconstruction technique via CEEMDAN and fuzzy entropy

(2022) Zekai Wu et al.   Air Quality Atmosphere and Health

Logistics service provider selection decision making for healthcare industry based on a novel weighted density-based hierarchical clustering

(2021) Lei Tu et al.   ADVANCED ENGINEERING INFORMATICS

A predictive maintenance system for multi-granularity faults based on AdaBelief-BP neural network and fuzzy decision making

(2021) Yaqiong Lv et al.   ADVANCED ENGINEERING INFORMATICS

Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems

(2021) Yiwei Cheng et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Residual deep subdomain adaptation network: A new method for intelligent fault diagnosis of bearings across multiple domains

(2021) Zuoyi Chen et al.   MECHANISM AND MACHINE THEORY

Autonomous decision-making scheme for multi-ship collision avoidance with iterative observation and inference

(2020) Tengfei Wang et al.   OCEAN ENGINEERING

A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification

(2020) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Probability Analysis of Fault Diagnosis Performance for Satellite Attitude Control Systems

(2019) Maiying Zhong et al.   IEEE Transactions on Industrial Informatics

Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

Degradation Data-Driven Time-To-Failure Prognostics Approach for Rolling Element Bearings in Electrical Machines

(2018) Jun Wu et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

(2018) Min Xia et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

(2018)   IEEE Transactions on Industrial Informatics

RFID-based multi-attribute logistics information processing and anomaly mining in production logistics

(2018) Xiaohua Cao et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

An economical optimization model of non-periodic maintenance decision for deteriorating system

(2018) Cong Zhang et al.   IEEE Access

Data-driven fault diagnosis of satellite power system using fuzzy Bayes risk and SVM

(2018) Mingliang Suo et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Intelligent Fault Diagnosis of the High-Speed Train With Big Data Based on Deep Neural Networks

(2017) Hexuan Hu et al.   IEEE Transactions on Industrial Informatics

A Bayesian approach to consequent parameter estimation in probabilistic fuzzy systems and its application to bearing fault classification

(2017) Chuan Li et al.   KNOWLEDGE-BASED SYSTEMS

Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

(2017) Ran Zhang et al.   IEEE Access

Study on multi-fractal fault diagnosis based on EMD fusion in hydraulic engineering

(2016) Shibao Lu et al.   APPLIED THERMAL ENGINEERING

Fault Diagnosis Using a Joint Model Based on Sparse Representation and SVM

(2016) Likun Ren et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations

(2015) Jaouher Ben Ali et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Application of higher order spectral features and support vector machines for bearing faults classification

(2015) Lotfi Saidi et al.   ISA TRANSACTIONS

Non-negative EMD manifold for feature extraction in machinery fault diagnosis

(2015) Cong Wang et al.   MEASUREMENT

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

(2013) Xiaohang Jin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Semisupervised Distance-Preserving Self-Organizing Map for Machine-Defect Detection and Classification

(2013) Weihua Li et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Failure time prediction for mechanical device based on the degradation sequence

(2013) Yuanhang Wang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Wavelet leaders multifractal features based fault diagnosis of rotating mechanism

(2013) Wenliao Du et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING