Helical fault diagnosis model based on data-driven incremental mergence

Jing Liu; Yacheng An; Runliang Dou; Haipeng Ji; Yankai Liu

doi:10.1016/j.cie.2018.02.002

ScienceGate Book Chapters

JOURNAL ARTICLE

Helical fault diagnosis model based on data-driven incremental mergence

Jing Liu Yacheng An Runliang Dou Haipeng Ji Yankai Liu

Year: 2018 Journal: Computers & Industrial Engineering Vol: 125 Pages: 517-532 Publisher: Elsevier BV

DOI: 10.1016/j.cie.2018.02.002

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Data mining Merge (version control) Data stream mining Artificial intelligence Data-driven Fault (geology) Machine learning Engineering

Metrics

Cited By

1.33

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Gear and Bearing Dynamics Analysis

Physical Sciences → Engineering → Mechanical Engineering

Helical fault diagnosis model based on data-driven incremental mergence

Metrics

Citation History

Topics

Related Documents

Fault Diagnosis Based on Data-driven Dynamic Model

Model-Based Data Normalization for Data-Driven PMSM Fault Diagnosis

Data-Driven Design for static Model-Based fault diagnosis

Data-Driven Design of Model-based Fault Diagnosis Systems

Framework for Unifying Model-based and Data-driven Fault Diagnosis