Develop Machine Health Monitoring Techniques (Classroom & Asynchronous)

Training Provider: SINGAPORE INSTITUTE OF MANUFACTURING TECHNOLOGY
Course Reference: TGS-2019503722
S$900
Original: S$3,000
Save S$2,100

About This Course

This course aims to provide the students with the knowledge of machine health monitoring techniques in sensor, data acquisition, signal processing, machine monitoring and fault diagnosis. Latest technology such as IoT and maintenance management system, overall equipment effectiveness monitoring system are introduced and provides student with hands-on experience. Cases studies are in the areas of rotary equipment, tool condition monitoring, semiconductor and other service and equipment maintenance industry.

What You'll Learn

At the end of the course, the learner will be able to understand
KA1: Advantage and disadvantage of preventative/Predictive maintenance Practices
KA2: Remote monitoring of machines
KA3: Concept and components of Computer Integrated Manufacturing
KA4: Principles and applications of sensing for condition monitoring
KA5: Concept of sampling and applications of Fast Fourier Transformation
KA6: Concept of misalignment, imbalance and bearing fault detection
KA7: Extract statistical features of vibration and current signals
KA8: HMI and SCADA implementation and the key steps involved
KA9: Equipment Engineering System
KA10: SECS, GEM, ARAM

Entry Requirements

Diploma with relevant experience or degree

Course Details

Duration 42 hours
Language English
Training Commitment Part Time
Total Enrolled 6 students
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