A Multiscale Similarity Ensemble Methodology for Remaining Useful Life Prediction in Multiple Fault Modes

A Multiscale Similarity Ensemble Methodology for Remaining Useful Life Prediction in Multiple Fault Modes

Traditional similarity-based methods generally ignore the diversity of equipment fault modes, the difference in degradation rates, and the inconsistency among monitoring data lengths. Thus, a similarity-based multi-scale ensemble method in multiple fault modes (MFM-MSEN) is proposed to improve remai...

Полное описание

Библиографические подробности
Главный автор:	SHU Junqing, XU Yuhui, XIA Tangbin, PAN Ershun, XI Lifeng
Формат:	Статья
Язык:	zho
Опубликовано:	Editorial Office of Journal of Shanghai Jiao Tong University 2022-05-01
Серии:	Shanghai Jiaotong Daxue xuebao
Предметы:	remaining useful life (rul) fault mode identification multiscale ensemble strategy kernel density estimation similarity-based method
Online-ссылка:	http://xuebao.sjtu.edu.cn/article/2022/1006-2467/1006-2467-56-5-564.shtml

Схожие документы

A method for predicting the remaining useful life of shearer bearings based on improved similarity model
по: LI Xiaokun, и др.
Опубликовано: (2023-05-01)

A Novel Method for Remaining Useful Life Prediction of Bearing Based on Spectrum Image Similarity Measures
по: Bo Wu, и др.
Опубликовано: (2022-06-01)

A Novel RUL-Centric Data Augmentation Method for Predicting the Remaining Useful Life of Bearings
по: Miao He, и др.
Опубликовано: (2024-10-01)

Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis
по: Tiago Gaspar da Rosa, и др.
Опубликовано: (2022-12-01)

Remaining Useful Life Prediction Method Enhanced by Data Augmentation and Similarity Fusion
по: Huaqing Wang, и др.
Опубликовано: (2024-06-01)

Nonlinear Degradation Modeling and Residual Life Prediction for Rollers Based on Kernel-based Wiener Process
по: WANG Hanyu, CHEN Zhen, ZHOU Di, CHEN Zhaoxiang, PAN Ershun
Опубликовано: (2023-08-01)

Prognosis of the Remaining Useful Life of Bearings in a Wind Turbine Gearbox
по: Wei Teng, и др.
Опубликовано: (2016-12-01)

Remaining Useful Life Prediction Method for Bearings Based on LSTM with Uncertainty Quantification
по: Jinsong Yang, и др.
Опубликовано: (2022-06-01)

Remaining Useful Life Prediction with Similarity Fusion of Multi-Parameter and Multi-Sample Based on the Vibration Signals of Diesel Generator Gearbox
по: Shenghan Zhou, и др.
Опубликовано: (2019-09-01)

The Application of Frailty Model in Remaining Useful Life Estimation (Case Study: Sungun Copper Mine's Loading System)
по: Awat Ghomghale, и др.
Опубликовано: (2020-10-01)

BEARING REMAINING LIFE PREDICTION BASED ON DEEP SEPARABLE CONVOLUTIONAL NEURAL NETWORK
по: XU HaiMing, и др.
Опубликовано: (2022-01-01)

Remaining Useful Life Estimation Framework for the Main Bearing of Wind Turbines Operating in Real Time
по: Januário Leal de Moraes Vieira, и др.
Опубликовано: (2024-03-01)

Shapelet selection based on a genetic algorithm for remaining useful life prediction with supervised learning
по: Gilseung Ahn, и др.
Опубликовано: (2022-12-01)

Transformer Encoder Enhanced by an Adaptive Graph Convolutional Neural Network for Prediction of Aero-Engines’ Remaining Useful Life
по: Meng Ma, и др.
Опубликовано: (2024-04-01)

Research on Prediction Method of Hydraulic Pump Remaining Useful Life Based on KPCA and JITL
по: Zhenbao Li, и др.
Опубликовано: (2021-10-01)

Life extension of wind turbine drivetrains by means of SCADA data: Case study of generator bearings in an onshore wind farm
по: Kelly Tartt, и др.
Опубликовано: (2024-12-01)

Self-Attention and Multi-Task Based Model for Remaining Useful Life Prediction with Missing Values
по: Kai Zhang, и др.
Опубликовано: (2022-08-01)

Method for Forecasting the Remaining Useful Life of a Furnace Transformer Based on Online Monitoring Data
по: Andrey A. Radionov, и др.
Опубликовано: (2023-06-01)

RUL Prediction for Lithium Batteries Using a Novel Ensemble Learning Method
по: Jiaju Wu, и др.
Опубликовано: (2022-11-01)

LSTM-Based Multi-Task Method for Remaining Useful Life Prediction under Corrupted Sensor Data
по: Kai Zhang, и др.
Опубликовано: (2023-03-01)

Remain useful life forecasting for roller bearings using sparse auto-encoder
по: Yifeng Tang, и др.
Опубликовано: (2023-09-01)

Fault Diagnosis of Cascaded Multilevel Inverter Using Multiscale Kernel Convolutional Neural Network
по: A. Sivapriya, и др.
Опубликовано: (2023-01-01)

A Distributional Perspective on Remaining Useful Life Prediction With Deep Learning and Quantile Regression
по: Ming Zhang, и др.
Опубликовано: (2022-01-01)

Predicting the Remaining Useful Life of Light Aircraft Structural Parts: An Expert System Approach
по: David Gerhardinger, и др.
Опубликовано: (2023-11-01)

Remaining useful life prediction of lithium-ion batteries based on wavelet denoising and transformer neural network
по: Wangyang Hu, и др.
Опубликовано: (2022-08-01)

A method for predicting remaining useful life using enhanced Savitzky–Golay filter and improved deep learning framework
по: Xiangyang Li, и др.
Опубликовано: (2024-10-01)

Similarity-Based Remaining Useful Lifetime Prediction Method Considering Epistemic Uncertainty
по: Wenbo Wu, и др.
Опубликовано: (2023-11-01)

A Method for Predicting the Remaining Useful Life of Lithium-Ion Batteries Based on Particle Filter Using Kendall Rank Correlation Coefficient
по: Diju Gao, и др.
Опубликовано: (2020-08-01)

MULTISCALE BASE-SCALE ENTROPY AND ITS APPLICATION IN FAULT DIAGNOSIS
по: WANG Zhao
Опубликовано: (2018-01-01)

Time Series Analysis Using Composite Multiscale Entropy
по: Kung-Yen Lee, и др.
Опубликовано: (2013-03-01)

Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy
по: Weibo Zhang, и др.
Опубликовано: (2019-05-01)

An On-Board Remaining Useful Life Estimation Algorithm for Lithium-Ion Batteries of Electric Vehicles
по: Xiaoyu Li, и др.
Опубликовано: (2017-05-01)

Enhanced Multiscale Principal Component Analysis for Improved Sensor Fault Detection and Isolation
по: Byanne Malluhi, и др.
Опубликовано: (2022-07-01)

Remaining Useful Life Prediction for Pressurized Fluid Pipelines Based on Acoustic Emission Monitoring and an Adaptive Fuzzy Similarity Measure
по: Duc-Thuan Nguyen, и др.
Опубликовано: (2024-01-01)

LSTM-Based Broad Learning System for Remaining Useful Life Prediction
по: Xiaojia Wang, и др.
Опубликовано: (2022-06-01)

Composite Interpolation-Based Multiscale Fuzzy Entropy and Its Application to Fault Diagnosis of Rolling Bearing
по: Qingyun Liu, и др.
Опубликовано: (2019-03-01)

Prognostics of Electromechanical Actuator with Partial Time Scaling Invariant Temporal Alignment
по: Alexandre Eid, и др.
Опубликовано: (2023-11-01)

Data-Driven Quantitative Evaluation of Fault Diagnosability: Integrating Distance and Direction Similarity Metrics
по: Yang Song, и др.
Опубликовано: (2024-01-01)

Predicting the Carbon Price Sequence in the Shenzhen Emissions Exchange Using a Multiscale Ensemble Forecasting Model Based on Ensemble Empirical Mode Decomposition
по: Jianguo Zhou, и др.
Опубликовано: (2018-07-01)

A Comprehensive Fault Diagnosis Method for Rolling Bearings Based on Refined Composite Multiscale Dispersion Entropy and Fast Ensemble Empirical Mode Decomposition
по: Weibo Zhang, и др.
Опубликовано: (2019-07-01)