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DEVELOP MACHINE HEALTH MONITORING TECHNIQUES (42 HOURS)

Develop Machine Health Monitoring Techniques

We are revamping the full qualifications for the Graduate Diploma courses. Applicants can still sign up for the individual modules under the specialisations.

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.


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

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.


(Sample) Statement of Attainment:SSG SOA

Pre-Requisites, Full and Nett Course Fees

Pre-Requisites

  • 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

International
Participants
Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders
Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES) ² SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$3,240 $972 $372 $372
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.

    • ¹ Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS), subject to eligibility criteria shown below.

      SMEs that meet all of the following eligibility criteria:

      • Registered or incorporated in Singapore
      • Employment size of not more than 200 or with annual sales turnover of not more than $100 million

      SME-sponsored Trainees:

      • Must be Singapore Citizens or Singapore Permanent Residents.
      • Courses have to be fully paid for by the employer.
      • Trainee is not a full-time national serviceman. 

      Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are not eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

    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

    TYPECATEGORY OF INDIVIDUALS
    International Participants Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and aboveSME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) 
    FUNDING SOURCE
    Not applicable for SkillsFuture FundingSkillsFuture Funding (Baseline)SkillsFuture Mid-career Enhanced Subsidy (MCES) ²SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
     Full Course Fee $3,000$3,000$3,000  $3,000
    SkillsFuture Funding Not Applicable  ($2,100)  ($2,700)  ($2,700)
    Nett Course Fee $3,000  $900 $300  $300
    8% GST
    $240 $72*  $72*  $72*
    Total Course Fee Payable to Training Provider $3,240 $972 $372  $372
    * Based on 30% of Full Course Fee

    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

    For technical enquiries, please contact:

    Dr LIN Wei,
    Email: wlin@SIMTech.a-star.edu.sg

    For general enquiries, please contact:

    Mr Joshua THONG,
    Email: cmthong@SIMTech.a-star.edu.sg


    Develop Machine Health Monitoring Techniques

    Registration

    • Please register for this course through our Course Registration Form.
    • For the first question, please select Qn1: Modular Programmes (Under Specialisations).
    • 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 Training Period
    (Click on dates to view schedules)

    Registration Status 

    Mech M1:

    • Design Precision Machines (42 hours)
    TGS-2018502751
    EVE18 Apr 2023 - 1 Jun 2023
    Registration has closed for Apr 2023 intake.

    Mech M2:

    • Enhance Control Performance of Precision Machines (42 hours)
    TGS-2018502752
    EVE 8 Jun 2023 - 27 Jul 2023

    The Jun 2023 intake is cancelled. New dates for the next intake will be published soon.

    Mech M3:

    • Develop Machine Health Monitoring Techniques (42 hours)
    TGS-2019503722 EVE1 Aug 2023 - 14 Sep 2023

    Mech M4:

    • Geometric Dimensioning & Tolerancing (42 hours)
    TGS-2018502728 EVE19 Sep 2023 - 2 Nov 2023
    Sessions
    FD
    : Full Day  AM
    : Morning PM
    : Afternoon EVE
    : Evening