Learn vibration diagnostics and apply it to IoT implementation and predictive maintenance in the field!
●Overview This course provides a thorough explanation of vibration diagnosis, incorporating numerous real-life examples from basic concepts to diagnostic cases. As a result, even beginners can deepen their understanding without difficulty. Additionally, this course serves as a tool to improve maintenance levels by considering how to utilize IoT for predictive maintenance and how to effectively use collected condition monitoring data and diagnostic results. The structure is designed to encourage discussions on the IoT implementation for predictive maintenance in the field. Learn from experts in vibration diagnosis and use this knowledge as an opportunity to review and advance the IoT integration and predictive maintenance in your workplace! ●Objectives - To understand vibration diagnosis from the basics and apply it to maintenance and improvement in operations. - To enable concrete discussions on the IoT implementation for predictive maintenance.
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basic information
1. Evolution of Equipment Management and Maintenance Methods 2. Equipment Diagnostic Technology 3. Basics of Vibration 4. Vibration Measurement 5. Approach to Condition Monitoring and Diagnosis 6. Simple Diagnosis (Condition Monitoring) 7. Precise Diagnosis (Cause Investigation and Countermeasure Planning) 8. Abnormal Vibration Phenomena and Their Characteristics 9. Case Studies of Abnormal Vibration Diagnosis 10. Key Points of Vibration Condition Monitoring and Diagnosis 11. IoT Implementation of Predictive Maintenance
Price information
Member price: 48,400 yen, Regular price: 60,500 yen
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Applications/Examples of results
●Target Audience ・Maintenance Staff ・Production Technology Engineers ●Recommended for ・Those who want to learn about vibration diagnosis ・Those who want to introduce predictive maintenance and IoT into their maintenance operations but are unsure how to proceed *Also recommended for those who want to learn practically about CBM.
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Company information
By supporting the resolution of issues related to the improvement of productivity, equipment management technology, and maintenance techniques and skills, we will contribute to the promotion of safe, secure, and stable production and maintenance activities in the industrial sector, as well as the stabilization and enhancement of quality.