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Develop Machine Health Monitoring Techniques
This course is one of five modules stackable for the Graduate Diploma in Precision Engineering, specialising in Mechatronics.

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.


Watch our webinar video for "WSQ course in Mechatronics – Highlights of Successful Case Studies" held on 18 May 2020 for more information about this Graduate Diploma course.

watch playback

What You Will Learn

What You Will Learn

Overview of Machine Health Monitoring
  • Preventive Maintenance and Predictive Maintenance
  • Advantages and Disadvantages Comparison

Machine Health Monitoring Techniques

  • Sensors Selection
  • Data Acquisition
  • Signal Processing and Feature Extraction
  • Remote Monitoring of Machines Conditions

Machine Monitoring Application in Semiconductor Industry

  • SEMI, SEMATECH, ARAM Standards
  • Semicon Roadmap on Equipment Health
  • Concept and Components of Potential System

Machine Health Monitoring and Maintenance Management System

  • OEE Monitoring System
  • Tool Condition Monitoring
  • Maintenance Management System (MMS)
  • IIoT-enabled Equipment Condition Monitoring and Alert

download brochure OR register of interest for course

Develop Machine Health Monitoring Techniques

Please register your interest for this course under 1. Graduate Diplomas in Precision Engineering > 2. Mechatronics in the online form.

Note: SIMTech will contact you once registration for the next run of the course you are interested in opens.

Upon Completion of This Course

Upon Completion

Participants will be awarded the Graduate Diploma in Precision Engineering after successfully completing the five modules under the respective specialisation. Alternatively, participants will be awarded a WSQ Statement of Attainment electronic certificate for each individual module.

Participants must also meet the following criteria to receive their SOAs: 

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

Click here to learn more about the WSQ SOA Certificate.

Left: Graduate Diploma in Precision Engineering 
Right: Official Transcript

SSG Graduate Diploma Transcript
Statement of Attainment:SSG SOA

Pre-Requisites, Full and Nett Course Fees


  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
  • Proficiency in written and spoken English.

Full Course Fee

The full course fee for this module is $3,000 before funding and prevailing GST.

Nett Course Fee

Singapore Citizens
(39 yrs old or younger), SPRs or LTVP+ Holders
Singapore Citizens
(40 yrs or older)²
Enhanced Training Support
for SMEs¹
$3,210 $963 $363 $363
All fees are inclusive of prevailing GST.

Please note that fees and funding amount are subject to change.

  • Long Term Visit Pass Plus (LTVP+) Holders
    The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.

    All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

  • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only).

    For more information on the SkillsFuture funding schemes you are eligible for, please visit www.ssg.gov.sg

    How course fees are calculated

    fees breakdown

    Eligible for SkillsFuture Enterprise Credit (SFEC)

    SkillsFuture Enterprise Credit (SFEC)

    The SkillsFuture Enterprise Credit (SFEC) was first introduced during the Singapore’s Budget 2020 and then recently expanded to a larger group of employers in Budget 2022. It encourages employers to invest in enterprise transformation and capabilities of their employees. Eligible employers will receive a one-off S$10,000 credit to cover up to 90% of out-of-pocket expenses on qualifying costs for supportable initiatives, over and above the support levels of existing schemes.

    Submission of SFEC Claim

    Employers are required to submit their SFEC claims manually via its microsite if they fulfil any of the following scenarios:

    • Employers have sent their foreign employees (excluding foreign employees who hold Long-Term Visit Pass Plus) for training on a SFEC-eligible course;

    Employers can only submit the claims for SFEC after their employees have completed the training course(s). Click here to download the SFEC Claim e-guide.
    NOTE: You will require a Corppass account with "EPJS_User" role assigned prior to login to your account to manage your claims.

    If you are unsure whether your company is eligible for SFEC, you may submit an enquiry to Enterprise Singapore (ESG) via here for their response.

    Contact Us

    download brochure OR register of interest for course

    Develop Machine Health Monitoring Techniques

    Please register your interest for this course under 1. Graduate Diplomas in Precision Engineering > 2. Mechatronics in the online form.

    Note: SIMTech will contact you once registration for the next run of the course you are interested in opens.


    Skills Course Code Reference Training Period (Click on dates to view schedules)
    Registration Status 
    Design Precision Machines (42 hours)
    EVE 2 Jun 2022 - 19 Jul 2022
    Register interest to Course
    Enhance Control Performance of Precision Machines (42 hours)
    EVE21 Jul 2022 - 8 Sep 2022
    Register interest to Course
    Develop Machine Health Monitoring Techniques (42 hours)
    TGS-2019503722 EVE10 Jan 2023 - 2 Mar 2023

    Register interest to Course
    Geometric Dimensioning & Tolerancing (42 hours)
    TGS-2018502728 EVE13 Sep 2022 - 27 Oct 2022
    Register interest to Course
    Plan and Manage Project for Implementation (30 hours)
    TGS-2018502857 EVE 4 May 2022 - 20 Jun 2022
    Registration has closed
    : Full Day  AM
    : Morning PM
    : Afternoon EVE
    : Evening