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.

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.


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 of this Course

Electronic Statement of Attainment (SOA) certificates will be issued by SkillsFuture Singapore (SSG) to participants who have attended and attained competency in the Singapore Skills Framework training modules. 

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

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

Find out more about the WSQ SOA certificate.

Note: Trainees will have to bear the full course fee upon failure to meet either one of the criteria.


Sample: Statement of Attainment (SOA) CertificateSSG 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 course is $3,000 before funding and prevailing GST.

Nett Course Fee

International
Participants
Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders
Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES) ²SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$3,270$981$381$381
All fees are inclusive of GST 9%.
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.

ENHANCED TRAINING SUPPORT FOR SMALL & MEDIUM ENTERPRISE (SMEs) SCHEME (ETSS)

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.

SKILLSFUTURE MID-CAREER ENHANCED SUBSIDY (MCES)

SkillsFuture Credit

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

How course fees are calculated

TYPECATEGORY OF INDIVIDUALS
International Participants Singapore Citizens aged 39 years and below, 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 FundingNot Applicable  ($2,100) ($2,700) ($2,700)
Nett Course Fee$3,000  $900$300 $300
GST 9%
$270 $81* $81* $81*
Total Course Fee Payable to Training Provider$3,270 $981$381$381
* Based on 30% of Full Course Fee

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:

  • Design Precision Machines (42 hours)
TGS-2018502751
EVE 22 Oct 2024 - 10 Dec 2024

Mech M2:

  • Enhance Control Performance of Precision Machines (42 hours)
TGS-2018502752
EVE3 Sep 2024 - 17 Oct 2024

Mech M3:

  • Develop Machine Health Monitoring Techniques (42 hours)
TGS-2019503722 The next intake's schedule is still in the planning stage.

Mech M4:

  • Geometric Dimensioning & Tolerancing (42 hours)
TGS-2018502728 EVE29 Jul 2024 - 16 Sep 2024

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.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening