DEVELOP MACHINE HEALTH MONITORING TECHNIQUES (42 HOURS)
- We are revamping the full qualifications for the Graduate Diploma courses. Applicants can still sign up for the individual modules under the specialisations.
- This module is offered under the Mechatronics specialisation.
Introduction
This course aims to provide participants with knowledge and practical skills on using machine health monitoring techniques in sensor, data acquisition, signal processing, machine monitoring and fault diagnosis. The course training also elaborates on the latest technology such as the Internet of things (IoT), maintenance management system and overall equipment effectiveness (OEE) monitoring system.
The comprehensive structure of this course incorporates classroom lectures, hands-on experimental work, and suitable case studies in the areas of rotary equipment, tool condition monitoring, semiconductor and other service and equipment maintenance industry to enhance the knowledge of participants and apply the newly-learnt skills to address practical problems in their workplace.
Why This Course
- Designed specifically to meet Singapore’s industry demand
- Delivered by technology experts with many years of industrial projects’ experience
- Highly practical and hands-on work intensive
- Latest knowledge and up-to-date technologies via industrial case-studies
Who Should Attend
This course is designed for operations and maintenance managers and engineers, equipment designers, process managers and engineers, hardware and instrument specialists, machine, line or cell systems integrators, project managers and professionals from industries utilising machine health monitoring, including precision engineering, electronics, aerospace, marine engineering, renewable energy, MedTech, and remanufacturing, etc.
Contact Us
- For technical enquiries, please contact:
Dr LIN Wei,
Email: wlin@SIMTech.a-star.edu.sg
Dr Ian CHAN,
Email: hlchan@SIMTech.a-star.edu.sg
- For general enquiries, please contact:
Ms Charlotte LIM,
Email: charlotte-lim@SIMTech.a-star.edu.sg
Registration
- Please register for this course through our Course Registration Form for Public Classes.
- For the first question, please select "Modular Programmes".
- Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
- Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.
Schedules
Modules | Skills Course Code Reference | Next Intake(s)'s Training Period (Click on the dates to view its schedules) | Registration Status |
Mech M1:
| TGS-2018502751 | 22 Oct 2024 - 10 Dec 2024 | |
Mech M2:
| TGS-2018502752 | 7 Jan 2025 - 27 Feb 2027 | |
Mech M3:
| TGS-2019503722 | The next intake's schedule is still in the planning stage. | |
Mech M4:
| TGS-2018502728 | 2 Sep 2024 - 16 Oct 2024 | The Sep 2024 intake is closed for registration. |
Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.
Announcement:
- From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.
- View the full list of modular programmes offered by SIMTech and ARTC.
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