A two-stage method based on extreme learning machine for predicting the remaining useful life of rolling-element bearings

Zuozhou Pan, Zong Meng, Zijun Chen, +2

Mechanical Systems and Signal Processing

EngineeringMachine LearningLife PredictionPattern RecognitionExtreme Learning Machine +9

An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image

Ying Zhang, Kangshuo Xing, Ruxue Bai, +2

Measurement

Fault DiagnosisImage AnalysisEngineeringPattern RecognitionTime–frequency Image +5

An enhancement denoising autoencoder for rolling bearing fault diagnosis

Zong Meng, Xuyang Zhan, Jing Li, +1

Measurement

Fault DiagnosisEngineeringBearing Fault DiagnosisDiagnosisAutomatic Fault Detection +1

Vibration response and fault characteristics analysis of gear based on time-varying mesh stiffness

Zong Meng, Guixia Shi, Fulin Wang

Mechanism and Machine Theory

Modal AnalysisCondition MonitoringEngineeringMechanicsMechanical Engineering +9

2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing

Yang Guan, Zong Meng, Dengyun Sun, +2

Reliability Engineering & System Safety

Accurate Fault DiagnosisFault DiagnosisCondition MonitoringEngineeringMeasurement +7

Rolling bearing fault diagnosis based on multi-channel convolution neural network and multi-scale clipping fusion data augmentation

Ruxue Bai, Quansheng Xu, Zong Meng, +3

Measurement

Fault DiagnosisMachine VisionMachine LearningData ScienceImage Analysis +8

A parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings

Lixiao Cao, Hongyu Zhang, Zong Meng, +1

Reliability Engineering & System Safety

EngineeringMachine LearningUncertainty QuantificationPredictive AnalyticsManagement +8

Fractional Fourier and time domain recurrence plot fusion combining convolutional neural network for bearing fault diagnosis under variable working conditions

Ruxue Bai, Zong Meng, Quansheng Xu, +1

Reliability Engineering & System Safety

Fractional FourierFault DiagnosisConvolutional Neural NetworkEngineeringPattern Recognition +5

Intelligent fault diagnosis of rolling bearings under varying operating conditions based on domain-adversarial neural network and attention mechanism

Hao Wu, Jimeng Li, Qingyu Zhang, +2

ISA Transactions

Fault DiagnosisIntelligent Fault DiagnosisEngineeringMachine LearningIntelligent Diagnostics +7

Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model

Wanmeng Ding, Jimeng Li, Weilin Mao, +2

Reliability Engineering & System Safety

EngineeringMachine LearningData ScienceLife PredictionPredictive Analytics +7