Author(s): Erik Johansson and Mikaela Andersson

Abstract: Computer Numerical Control (CNC) machines are critical components in modern manufacturing, known for their precision and efficiency. However, the continuous operation of CNC machines can lead to wear and tear, resulting in mechanical faults. Detecting these faults early is crucial for maintaining the operational efficiency and longevity of the machines. This paper explores the application of vibration analysis as an effective method for fault detection and diagnostics in CNC machines. Vibration analysis uses sensors to monitor vibrations emitted by machine components, providing real-time data for identifying potential issues. The study reviews various vibration-based diagnostic techniques, including frequency analysis, time-domain analysis, and advanced signal processing methods. Through a series of case studies and examples, the paper discusses the types of faults that can be detected, the technologies involved, and the practical implications for machine maintenance and operation.

Pages: 10-17 | Views: 20 | Downloads: 10

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