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Articles by keyword: «Fault Diagnosis»

• A Bearing Intelligent Fault Diagnosis Method Based on Cluster Analysis
  Published in: Mechanical Engineering and Materials (p1628)
• A Character of Rotating Machinery Defined Based on KICA
  Published in: Mechatronics and Information Technology (p761)
• A Cluster-Based Wavelet Feature Extraction Method for Machine Fault Diagnosis
  Published in: e-Engineering & Digital Enterprise Technology (p548)
• A Fault Diagnosis Approach of Steer-by-Wire System
  Published in: Advances in Science and Engineering II (p26)
• A Fault Diagnosis Method Based on Constrained Frequent Pattern Trees
  Published in: Quantum, Nano, Micro and Information Technologies (p449)
• A Fault Diagnosis Method Based on Improved Grey Correlation Grade for Turbine Generator Unit
  Published in: Manufacturing Science and Technology (p5045)
• A Fault Diagnosis of Suck Rod Pumping System Based on Wavelet Packet and RBF Network
  Published in: Manufacturing Process Technology (p2665)
• A Fault Diagnosis Technique for Water-Steam Chemistry Process in Power Plant
  Published in: Materials Science and Information Technology (p6467)
• A Fault-Tree Based Intelligent Fault Diagnostic System of Heavy CNC Equipments
  Published in: Materials Processing Technology (p2829)
• A GAFCM Clustering Analysis Model for Diesel Engine Faulty Diagnosis
  Published in: Advances in Mechanical Design (p745)
• A Gear Chain Fault Detection Method Using an Adaptive Interference Canceling
  Published in: The Mechanical Behavior of Materials X (p1303)
• A Hybrid KPCA-PNN Approach to Condenser Fault Diagnosis with a Particle Swarm Optimizer
  Published in: Progress in Measurement and Testing (p476)
• A Method of Fault Diagnosis for Reciprocating Compressor Based on Phase Space Reconstruction (PSR) and Empirical Mode Decomposition (EMD)
  Published in: New Trends in Mechatronics and Materials Engineering (p83)
• A Neuron-Fuzzy Technique for Fault Diagnosis in Rotating Machinery
  Published in: Advanced Research on Industry, Information System and Material Engineering (p2188)
• A New Approach to Fault Diagnosis for Satellite Control Systems Based on Machine Learning
  Published in: Advanced Materials and Engineering Materials (p1070)