Advances in Machine Condition Monitoring and Fault Diagnosis

Dear Colleagues,

Condition monitoring and fault diagnosis have demonstrated its effectiveness in improving the operation, maintenance, availability and therefore economic return of machines. They will play a more vital role in the future industrial production process with the rapid development of modern machinery industry. That requests the condition monitoring and fault diagnosis techniques to be more reliable and efficient in practical use. However, this is challenged by the fact that modern machines are becoming more complex in structure, larger in size, and operate under harsher loading and operational conditions. This Special Issue will provide an open platform for reporting and sharing the latest advances in this field. The topics of interest for publication in this Special issue include, but are not limited to, the following:

• Machine condition monitoring
• Structural health condition monitoring
• Signal processing
• Data analysis
• Image processing
• Fault diagnosis
• Non-destructive testing
• Non-destructive evaluation
• Mathematical models for health monitoring
• Data mining
• Artificial intelligence

Dr. Wenxian Yang
Prof. Dr. Radoslaw Zimroz
Dr. Mayorkinos Papaelias
Guest Editors

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