Comprehensive Overview on Computational Intelligence Techniques for Machinery Condition Monitoring and Fault Diagnosis

Chinese Journal of Mechanical Engineering (English Edition) - China
doi 10.1007/s10033-017-0150-0
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Concurrent Fault Diagnosis for Rotating Machinery Based on Vibration Sensors

International Journal of Distributed Sensor Networks
Computer NetworksEngineeringCommunications
2013English

Computational Intelligence Techniques for Predicting Earthquakes

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2011English

Knowledge Modeling of Fault Diagnosis for Rotating Machinery Based on Ontology

2015English

Computational Intelligence Techniques for Tactile Sensing Systems

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2014English

Monitoring and Fault Diagnosis for Industrial Process

2015English

Condition Monitoring of Fault Diagnosis Under Lubrication Condition in Ball Bearing Using Infrared Thermography

2010English

Remote Fault Diagnosis System for Marine Power Machinery System

2013English

Feature Extraction Based on Adaptive Multiwavelets and LTSA for Rotating Machinery Fault Diagnosis

Shock and Vibration
Mechanics of MaterialsGeotechnical EngineeringCondensed Matter PhysicsMechanical EngineeringCivilEngineering GeologyStructural Engineering
2019English

Rotating Machinery Vibration Signal Processing and Fault Diagnosis Based on LMD

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy