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Home * Courses * Graduate Diplomas * Mechatronics




The Workforce Skills Qualifications (WSQ) Graduate Diploma in Precision Engineering - Mechatronics is a joint initiative of the Singapore Institute of Manufacturing Technology (SIMTech) and the SkillsFuture Singapore (SSG).

The course aims to provide participants with the fundamentals and capabilities in applying multi-disciplinary and integrated approaches for developing high value industrial equipment and products such as precision machining tools, semiconductor equipment, measurement and optical instruments.

Why This Course

The course is delivered through a series of lectures, hands-on practical training sessions and case studies by SIMTech researchers with comprehensive industrial experiences. It provides the participants unique opportunities to learn and apply the competencies for increasing accuracy, throughput and effectiveness of precision manufacturing systems.

Industry Relevance

This course is targeted at engineers, supervisors, managers, researchers, and technicians, in the precision engineering, aerospace, optics, and semiconductor industries. It is highly suitable for those involve in design, service, purchasing and supply high-precision equipment and machine tools.


Click here to view the above video on YouTube.

Participants will be awarded the Graduate Diploma in Precision Engineering after successfully completing five modules. Alternatively, participants will be awarded an electronic Statement of Attainment by SkillsFuture Singapore (SSG) for completing any modules of their choice.

Since 3 November 2014, electronic certificates (e-Certs) are issued by SkillsFuture Singapore (SSG) to participants who have attended and attained competency in the Singapore Skills Framework training modules. Visit here for more information about the e-Cert.Visit here for more information about the e-Cert.

Module | Design Precision Machines


This highly practical course provides participants with the fundamentals of the basic precision engineering principles and the state-of-the-art concepts for achieving high precision and accuracy in machines and products. The course covers the applications of the key mechanical components and practical approaches for machines and mechanisms design and analysis. Case studies are included to help participants to gain the knowledge for addressing the real-world industrial needs.
 

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Today’s machines, be they for semiconductor manufacturing, precision part machining or inspection, operate at faster rates along with increasing precision. This is brought about by designers having skills and knowledge of the machines and the processes. These experienced designers are much sought-after and rare people. Therefore, this highly practical, case study-based course provides participants with the fundamentals of the precision engineering principles and the state-of-the-art design concepts for achieving higher precision and accuracy in machines and products. The course covers the applications of key mechanical components, and practical approaches for machines and mechanisms design and analysis. Case studies are included to help participants to gain the knowledge for addressing the real-world industrial needs.


  • Highly practical and intensive
  • Latest knowledge and up-to-date technology
  • Case studies highlighting industrial applications
  • Expert trainers in the field with industrial experience


This course targets at mechatronics/mechanical/electrical/control engineers, precision machines and automation systems designers and researchers, process engineers and plant supervisors. The course is also relevant for participants from industries, such as precision engineering, electronics, machine tools, automotive, aerospace, optics, semiconductor and etc, where accuracy capability and performance is critical to the production.

 


The course covers the following performance statements:

  • Understand the design principles and techniques for precision machine design
  • Apply kinematic design concepts • Aware the design methods for suppressing static and dynamic effects in machine structures
  • Apply practical techniques for minimising thermal distortion
  • Understand the design technique for high precision linear guides and transmission components
  • Design and analyse 4-bar linkage mechanisms for practical applications
  • Understand performance characteristics of flexure-based mechanisms
  • Perform error analysis for high precision motion stages
     

Dr Lin Wei’s research interests are in precision mechatronics design, process and inspection automation, and industrial robotics. He has been a technical and project leader for more than 50 major industrial projects for the precision engineering, electronics, oil and gas, and aerospace industries. Currently he is a Senior Scientist with the Singapore Institute of Manufacturing Technology and an Adjunct Research Associate Professor at the Department of Mechanical Engineering of the National University of Singapore. He is also a co-director of the SIMTech-NUS Joint Lab on Industrial Robotics.

View Dr Lin Wei’s researcher portfolio here.

Mr Chow Siew Loong is a Principal Research Engineer and team leader for the Engineering and Instrumentation Unit with the Manufacturing Automation Division at the Singapore Institute of Manufacturing Technology. His research interests are in mechanical design, conceptual designs and automation.

View Mr Chow Siew Loong’s researcher portfolio here.


Module | Enhance Control Performance of Precision Machines



This module equips participants with the competencies needed to analyse, design, and tune controllers for precision control. Participants will learn various issues and challenges in this niche field, the capabilities of the state-of-the-art controllers, and latest advances in actuation and sensing technologies used in precision engineering. Various case studies on error compensation, self-calibration, as well as practical implementation for control in areas such as piezoelectric motors, voice coil motors, and permanent magnet linear motors will be used to demonstrate the techniques that can be applied to engineering issues in day-to-day operations.

 

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This course equips participants with the fundamental tools needed to analyse, design and tune controllers with in-depth analysis of key considerations for precision control, such as uncertainty analysis, noise sources and filtering, and metrology and error sources, to name a few. The knowledge gained will enhanced the participant’s ability to increase machines’ performance in terms of precision, accuracy, speed and reliability. The participants will also gained awareness of the capabilities of various high-tech equipment, latest concepts at the forefront of precision engineering for actuation and sensing. Various case studies on error compensation, self-calibration, as well as practical implementation for control in some technology areas such as voice coil motors and permanent magnet linear motors will be used to impart the techniques which can be applied immediately to engineering issues in the day-to-day operation.


  • Designed specifically based on local industry demand
  • Highly practical and intensive
  • Latest knowledge and up-to-date technologies
  • Case studies highlighting industrial applications
  • Expert trainers in the field with industrial experience
     


This course targets at mechatronics/mechanical/electrical/control engineers, precision machines and automation systems designers and researchers, process engineers and plant supervisors. The course is also relevant for participants from industries, such as precision engineering, electronics, machine tools, automotive, aerospace, optics, semiconductor and etc, where accuracy capability and performance is critical to the production.


The course covers the following performance statements:

  • Understand the purpose of control systems and basic knowledge of PID (Proportional, Integral, Derivative) control
  • Understand the purpose of system modeling
  • Perform system identification for linear systems
  • Understand the design of PID control using model based approach
  • Distinguish between repeatability, resolution, and accuracy
  • Perform steps to calibrate and improve machine performance
  • Building mathematical model of a thermal system using thermal equations and perform analysis to determine & select suitable heater
  • Understand a servo control system
  • Appreciate and evaluate a precision close-loop positioning system
  • Construct a servo motor drive system with digital signal controller
  • Gain the knowledge on industrial communication interfaces, protocols their limitations and applications
     



Dr Teo Chek Sing completed his PhD degree at the National University of Singapore in 2008, under the Agency for Science Technology and Research (A*STAR) Scholarship Scheme, working on “Accuracy Enhancement for High Precision Gantry Stage”. His research interests are in the application of advanced control techniques to precision mechatronic system and instrumentation; to enhance performance in motion control and measurement. His current work includes using mechatronics stiffness to reduce jerk reaction in high speed motion stage and sensor placement for adaptronics. He currently leads the Precision Mechatronics Team within SIMTech’s Mechatronics Group, as well as the co-Director of the SIMTech-NUS Precision Motion System joint lab.

View Dr Teo Chek Sing’s researcher portfolio here.


Module | Develop Machine Health Monitoring Techniques



This module covers the principles and techniques for monitoring machine health and controlling vibration in equipment and machineries. Techniques of signal extraction, fault diagnosis and prognosis will be introduced. Case studies will be included for enhancing the knowledge in vibration analysis and condition monitoring for machine structures and rotating machines. At the end of this module, participants are expected to be equipped with critical competencies in dealing with issues that affect effectiveness and precision capabilities of machines and equipment.
 

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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.
 


  • 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


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.
 


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

  • EMI, 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 (IECOM)


Dr Zhou Junhong is a Principal Research Engineer at SIMTech. She has many years of research and industry experience in sensor selection, machine interfacing, data acquisition, automated signal processing, advance feature extraction, remote monitoring, fault detection and diagnosis. She is SIMTech’s Overall Equipment Effectiveness (OEE) Initiative Lead for improving overall equipment effectiveness. She obtained her PhD Degree in Engineering from the Nanyang Technological University, Singapore.

To view Dr Zhou Junhong's researcher portfolio, please visit here.

  Dr Ian Chan is a Senior Scientist and Group Manager at SIMTech. He received his BEng in Mechanical Engineering from the National University of Singapore, and his M.S. and PhD from the Department of Aeronautics & Astronautics, Stanford University. His previous experience includes aerodynamics research at DSO and structural health monitoring development at Acellent Technologies, Inc (CA, USA). Dr Chan has worked in several areas of condition monitoring for aerospace structures, concrete structures and production machines. His interests are in guided wave sensing, vibration sensing, power sensing, signal processing and data analytics for machine fault diagnostics, health trending and machine operating mode classifications.

To view Dr Ian Chan's researcher portfolio, please visit here.

Dr Goh Kiah Mok is a Principal Research Engineer at SIMTech with over 30 years of research and industrial experience. He specialises in factory systems design, integration, equipment controllers, embedded systems, CIM framework and semiconductor equipment SECS/GEM standards. Dr Goh has been conducting numerous courses to the industries especially in SECS/GEM standards and embedded controller. He is a SEMI Interface and communication voting member.

To view Dr Goh Kiah Mok's researcher portfolio, please visit here.


Module | Geometric Dimensioning &Tolerancing



This module aims to teach participants the knowledge of geometric dimensioning and tolerancing (GD&T) controls used in parts and assemblies design. Practical sessions are provided to enhance the understanding of the critical concepts. Upon completion of this module, the participants are expected to be able to inspect parts defined in GD&T.
 

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This course aims to provide students with fundamental knowledge and practical skills on the subject of Geometric Dimensioning and Tolerancing (GD&T). The course is conducted in an interactive way with case studies and hands-on experiments.

GD&T is a graphic language used by mechanical designers, engineers, and quality inspection operators to effectively and accurately communicate with one another through detailed drawings. It defines the geometry of mechanical parts without any ambiguities through symbols for geometric dimensions, tolerances and relative positions among features and datums. With GD&T defined drawings, desired forms and fits can be realised. This ensures the intended function of the parts and assemblies.
 

    GD&T is a powerful communication tool used in the precision engineering industry. These days, more companies are required to generate drawings that are dimensioned and toleranced with GD&T. This course is conducted by instructors with strong industrial experience in using GD&T. It also includes case studies discussions and intensive hands-on sessions to enhance the participants’ GD&T understanding.

    • Mechanical designers and engineers 
    • Quality manufacturing inspection operators, engineers and managers
    • Those interested in understanding and applying engineering drawings

        GD&T fundamental concepts and form control
    • GD&T symbols, terms and rules
    • Datum and datum system
    • Form control
    • Position tolerance control
    • Graphic analysis (paper gage)
    • Orientation, run-out and profile control
    • GD&T advantages over coordinate dimensioning
    • Strategy for tolerancing parts

    Dr Chen Wenjie received his B.Eng degree and M.Eng degree in mechanical engineering from the Beijing University of Aeronautics and Astronautics, China, in 1985 and 1988, respectively, and his PhD degree in mechatronics from the Nanyang Technological University, Singapore, in 1999. Currently, he is a research scientist in the Mechatronics Group, Singapore Institute of Manufacturing Technology (SIMTech) where he performs research of the precision machine design and the flexible grasping adaptive to object uncertainties. He has more than 20 years’ experience in GD&T applications, and is an  expert in the precision machine design, especially in the error budgeting analysis based-on GD&T.

    View Dr Chen Wenjie's researcher portfolio
    here.

     

    Dr Lin Wei is a Senior Scientist with the Mechatronics Group in SIMTech. His research interests are in precision mechatronics design, process and inspection automation, and industrial robotics. He has been a technical and project leader for more than 50 major industrial projects for the precision engineering, electronics, oil and gas, and aerospace industries. He holds three patents in the areas of precision motion system design and non-destructive testing.

    View Dr Lin Wei's researcher portfolio
    here.

    Dr Lin Wen-Jong is a Principal Research Scientist with the Singapore Institute of Manufacturing Technology. He received his MSc(Engineering) degree in Advanced Manufacturing Systems and Technology from the Liverpool University, United Kingdom, in 1991; PhD in Manufacturing Technology at the Imperial College, University of London, in 1997; postgraduate diploma in Structure Engineering and Foundation at the University of Westminster, United Kingdom, in 1999, and an MBA from the Nanyang Technological University, Singapore, in 2003. Dr Lin is a member of the Institute of Mechanical Engineering and a Chartered Engineer of Engineering Council, United Kingdom. Dr Lin has more than twelve years industry experience with SMEs and MNCs. He serves as an Adjunct Assistant Professor at the National University of Singapore. His field of research interests includes mechanical design, FEM, neural network, Fuzzy logical, motion control, real-time control and robotics with physical background and experience in mechanical/software control engineering, and a wide range of automation projects in food industry, medical equipment, aerospace overhaul and precision machines.

    View Dr Lin Wen-jong's researcher portfolio here.


    Module | Plan and Manage Project for Implementation



    This module covers the methods for planning, executing and managing projects for developing technology, products and processes. It teaches the applications of project planning tools and skills for managing uncertainties and disruptions in project activities. Human, financial and business factors that influence the conduct of projects will be considered and explored.
     

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    For more information about this module, please visit here.

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    • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
    • Proficiency in written and spoken English.

    Module Names

    Full Course Fee (before SkillsFuture Funding and GST)

    Type of Sponsorship
    Design Precision Machines

    $3,000





    Enhance Control Performance of Precision Machines

    $3,000
    Develop Machine Health Monitoring Techniques

    $3,000

    Geometric Dimensioning and Tolerancing

    $3,000
    Plan and Manage Project for Implementation

    $4,000

      Funding Schemes for this Programme:



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

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

      Singapore Institute of Manufacturing Technology
      2 Fusionopolis Way, Innovis Level 8
      Singapore 138634

      How to Reach SIMTech@Fusionopolis Two
      Visitor Parking at Fusionopolis Two

          


      This programme is associated with the below SIMTech centre. Click on the image to visit its website.



       


      PE WSQ Graduate Diploma in Mechatronics

      Module Names

      Skills Course Reference Number

      Schedule Dates

       

      Registration

      Design Precision Machines (42 hours)

      CRS-Q-0033751-PRE

      14 Jan 2020 - 10 Mar 2020


      Enhance Control Performance of Precision Machines (42 hours)

      CRS-Q-0033750-PRE

      2 Apr 2020 - 21 May 2020


      Develop Machine Health Monitoring Techniques (42 hours)

      CRS-Q-0038721-AER
      2 Jul 2020 - 18 Aug 2020

      Geometric Dimensioning & Tolerancing (42 hours)

      CRS-Q-0033823-PRE
      3 Sep 2019 - 22 Oct 2019
       
       

      Plan and Manage Project for Implementation (30 hours)

      CRS-Q-0033821-PRE
      22 May 2019 - 3 Jul 2019
       
      Click here to visit the programme webpage.

      Click here to view/download the programme collaterals.

      Click on the schedule dates to view the module calendars.
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      Only attendees will receive the email link to access the photo album from GC2019.


      Upcoming
      EVENTS, COURSES & MASTER CLASSES

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      2 Sep: Programme in Energy Efficiency Management | Improve Manufacturing Productivity through Energy Usage Pattern Monitoring and Analysis

      2 Sep: Programme in Implement Manufacturing Data Mining Techniques | Implement Manufacturing Data Mining Techniques

      3 Sep:[EVENT] Achieving more with LEAN and Industry 4.0

      3 Sep: Graduate Diploma in Mechatronics | Geometric Dimensioning & Tolerancing

      5 Sep: [EVENT] SIMTech-SSG Graduation Ceremony 2019 (Invitations & event details will be sent directly to 2018-2019 Course Graduates!)

      5 Sep: Programme in Improve Machining Productivity through Dynamics Analysis and Simulation | Improve Machining Productivity through Dynamics Analysis and Simulation

      9 Sep: Programme in Integrated Carbon Footprint Assessment Methodology (i-CARE) | Apply Integrated Carbon Footprint Assessment Methodology
       
      10 Sep: Graduate Diploma in Advanced Welding Technologies | Evaluate Advanced Metal Welding Processes

      10 Sep: Programme in Polymer Manufacturing Processes | Review Fundamentals of Polymers and Polymer Composites

      13 Sep: [EVENT] Breakfast Talk on Strategy and Techniques of Inventory Management in Industry4.0 Working Environment

      16 Sep: Master Class in Strategic Planning for Operational Excellence: Mastering Sales and Operations Planning (S&OP) Process to Align Strategies for Operational Excellence


      16 Sep: Programme in Microfluidics Technology | Understand the Microfluidics Manufacturing Processes
       
      17 Sep:
      Master Class in Digital Transformation: Greater Benefits when LEAN meets I4.0

      17 Sep:
      Graduate Diploma in Additive Manufacturing | Smart Additive Manufacturing System

      24 Sep:
      [EVENT] CEO Breakfast Talk on Creating a Kaizen Culture to Transform Your Business Operations and Enhance Your Business Values

      24 Sep:
      Programme in STORM | Review Processes for Strategic Techology & Roadmapping

      24 Sep:
      Programme in Corrosion Protection | Apply Advanced Coating Technologies for Corrosion and Wear Prevention
       
      30 Sep: Programme in Real-time OEE for Industry 4.0 | Real-time OEE for Industry 4.0


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