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Home * Courses * Graduate Diplomas * PE WSQ Graduate Diploma In Mechatronics


The Precision Engineering Workforce Skills Qualifications (PE WSQ) Graduate Diploma in Mechatronics is designed to train participants in applying multi-disciplinary and integrated approaches to design. This would help them develop high-end, value-added industrial equipments and products such as precision machining tools, semiconductor equipment, as well as measurement and optical instruments. The course consists of five modules conducted over a series of lectures, hands-on practical training, and case studies by SIMTech researchers with comprehensive industrial experiences. It provides participants with the unique opportunity to learn and apply the competencies for increasing accuracy, throughput, and functionality in equipment and product design.

This course is targeted at industrial engineers, supervisors, managers, researchers, and technicians in the precision engineering, aerospace, optics, and semiconductor industries.

Participants will be awarded the Graduate Diploma after successfully completing five modules (four core units and one elective unit). Alternatively, participants will be awarded a WSQ Statement of Attainment electronic certificate (e-Cert) for passing any individual module of their choice. Visit here for more information about the e-Cert.
 

Core Unit 1 | Design Precision Machines


CRS-Q-0020771-PE
Click here to visit the SSG Course Directory for this module.

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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.
  


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.
 


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

  • 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.

Dr Teo Tat Joo, Daniel received his B.Eng degree in Mechatronics Engineering from the Queensland University of Technology, Australia, in 2003, and his PhD degree in Mechanical and Aerospace Engineering from the Nanyang Technological University, Singapore, in 2009. He has been a researcher with the Singapore Institute of Manufacturing Technology since 2010. He was a visiting scientist with the Massachusetts Institute of Technology, USA, in 2016. Since 2017, he is an Adjunct Assistant Professor at the Department of Electrical and Computer Engineering of the National University of Singapore. Dr Teo’s research interests are to explore the fundamentals of Newtonian mechanics, solid mechanics, kinematics, and electromagnetism to develop high-precision mechatronics or robotic systems for micro/nano-scales manipulation and biomedical applications.

View Dr Teo Tat Joo'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.


Core Unit 2 | Enhance Control Performance of Precision Machines


CRS-Q-0019850-PE 
Click here to visit the SSG Course Directory for this module.

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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 stage 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.


    Core Unit 3 | Design and Analyse for Machine Vibration


    CRS-Q-0019851-PE
    Click here to visit the SSG Course Directory for this module.

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    This module covers the fundamentals of structural dynamics, the use of finite element modelling, the methods for vibration measurement, and the analyses of mechanical systems and machine structures. Case studies are discussed during sessions to identify and tackle the weaknesses in machine structures. Hands-on sessions will be conducted to learn about dynamic analysis for machine structure. Upon the completion of this module, participants are expected to be equipped with critical competencies in dealing with issues that affect machine vibration, such as stiffness and damping, structural configuration, and structural connectivity.

     


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


    This course targets at industrial engineers, supervisors and managers, researchers and technical staff in the precision engineering, electronics, marine & offshore, aerospace industries etc, where vibration to machines and mechatronics systems is a concern for achieving high speed and high precision performance.
      


    • Understand the vibration analysis concept for mechanical systems
    • Identify vibration sources
    • Learn the application of the vibration measurement and analysis tools
    • Learn the application of finite element method and the software tools for analysing the static and dynamic properties of machine structures
    • Understand the fundamental of structural modal analysis
    • Apply the basic method for vibration reduction due to internal external sources
    • Understand the practical methods for suppressing vibration
       

    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.

    Dr Lim Chee Wang is currently the Head of Advanced Technology with Makino Asia. His team is responsible of developing technology capability to enhance CNC machining centres’ performance, ease-of-use and reliability, through the use of sensors, intelligent control and advanced algorithm. Dr Lim obtained his BEng in Mechanical Engineering from UMIST, United Kingdom, MEng in Robotics from the National University of Singapore and EngD in Precision Engineering from the Cranfield University, United Kingdom. He was previously a Scientist with SIMTech and carried out research projects in the areas of Robotics, Automation and Machine Dynamics.


    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.


    Core Unit 4 | Apply Industrial Robots and Automation
     

    CRS-Q-0020552-PE
    Click here to visit the SSG Course Directory for this module.

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    This course aims to provide participants with the basics of robotics and their implementation in a variety of process automation. It covers the fundamentals of automation, robotics theories and the various types of components that can be integrated to form an intelligent system for process automation. The course also deals with robotic calibrations, as well as on robotics path teaching and programming methods. Representative case studies will also be shared with the participants during the training sessions.


    • 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 is designed for production managers, supervisors, engineers, technicians, automation systems designers and researchers. The course is also relevant for participants from industries, such as precision engineering, electronics, machine tools, automotive, aerospace, optics, semiconductor and etc, who are looking for industrial automation solutions for their daily operations in the production line.
     


    The course covers the following performance statements:

    • Understand the fundamental of robotics theory applied to industrial robots
    • Able to select suitable vision system for automated systems
    • Able to select suitable compliance tools for given requirements
    • Basic understanding of various industrial robot teaching methods
    • Basic understanding of major phase in industrial robot programming
    • Assess and consider the feasibility of applying robotic material removal on specific applications
    • Able to conceptualise mechanised system for a manufacturing operation
    • Understand requirements for inspection systems
    • Apply automation assessment for manufacturing operations
       


    Dr Ng Teck Chew is a Principal Research Engineer with SIMTech. He obtained his PhD in 2009 from the Nanyang Technological University, Singapore, in the research area of computer control and automation. He has more than 25 years’ experience working on industrial automation projects. Dr Ng has led several projects serving the Aerospace, Marine and Defense industry. With the accumulated experiences through years of engaging industries, together with his team of automation consultants, the team has designed a methodology for process automation assessment helping companies in achieving productivity improvement for factory floors.

    View Dr Ng Teck Chew's researcher portfolio here.


    Dr Tao Pey Yuen is a Scientist with SIMTech. He graduated from the National University of Singapore in 2004 with a degree in Engineering and obtained his Ph.D. degree from the National University of Singapore in 2009 under the A*Star Graduate Scholarship. While with SIMTech, he was the project leader for a number of industrial projects with successful results. He was also part of the project team awarded with the SIMTech Best Industry Project Award in 2011. His research interests are in the area of robotics, systems and control.

    View Dr Tao Pey Yuen's researcher portfolio here.


    Dr Sun Yeow Cheng is a Researcher in the Mechatronics Group with SIMTech. He has been a technical and project leader for various mechanised/robotised finishing projects with local SMEs, MNCs, R&D institutes and technology centers since 2008. Dr Sun served as a subject matter expert in the areas of mechanised finishing processes and technology development during his secondment with the Rolls-Royce Singapore in 2014 to 2015. His areas of research interest include industrial robotics and mechatronics systems.

    Mr Lim Tao Ming is a Senior Research Engineer with SIMTech. He has completed several industry and research projects for factory automation in the Aerospace, Marine, Logistics and Semiconductor industries. He obtained his Master Degree in Engineering from the National University of Singapore.


    Elective Unit 1 | Geometric Dimensioning & Tolerancing


    CRS-Q-0019495-PE
    Click here to visit the SSG Course Directory for this module.

    Please click here for more course information about this module.

    Elective Unit 2 | Dimensional Measurements and Metrology

    (This module is referred to as Precision Measurements under the Graduate Diploma in Precision Measurements and Characterisation)
    CRS-Q-0019494-PE
    Click here to visit the SSG Course Directory for this module.


    Please click
    here for more course information about this module.
     

    Elective Unit 3 | Implement Manufacturing Data Mining Techniques
    CRS-Q-0021823-MF
    Click here to visit the SSG Course Directory for this module.

    Please click here for more course information about this module.
      

    Elective Unit 4 | Design Human Machine Interface (HMI) and Supervisory Control (SC)


    CRS-Q-0020623-PE
    Click here to visit the SSG Course Directory for this module.
     

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    This module aims to provide learners with the knowledge and skills in machine interfacing, data acquisition, and supervisory control. They will gain hands-on experience from developing simple Human Machine Interface (HMI) to design supervisory control (SC) system for machine process monitoring and automated material handling system.

    This module will use a commercial SCADA software development tool during hands-on assignment sessions together with a PLC demonstration kit where the trainees will have to design two simple supervisory control systems: one for machine process monitoring and the other for automated material system. Case studies of industrial applications will be used to help the trainees understand the use of HMI & SC in a wider range of industries.

       


    • 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 is designed for Human Machine Interface (HMI), supervisory control designers, equipment and process managers and engineers. It is also suitable for machine, line or cell system integrators, operations and maintenance managers and engineers, hardware and instrument specialists and project managers.
        


    What is Human-Machine Interface (HMI) & Supervisory Control (SC)

    • Overview of HMI and supervisory control
    • Fundamentals of PLC, Database and SCADA tools
    • Machine communications, standards, and interface methods
    • Project management and system development life cycle
    • Case Study 1: HMI for Stamping Machine Monitoring

    How to Design a Supervisory Control System (SCS) for Process Monitoring

    • Requirements and system design considerations, interface methods
    • Case Study 2: Supervisory Control of a Thermal Bonding Machine
    • Hands-on Project 1: Building a supervisory control system for process monitoring (involving a Machine Controller, database, and SCADA)

    How to Design a HMI for Automated Material Handling System (AMHS)

    • Overview, System design considerations, PLC interface specifications
    • Case Study 3: HMI for an Automated Airfreight Terminal Control System
    • Hands-on Project 2: Building a HMI system for a pick and place machine (involving a PLC, database, and SCADA)
       

    Mr Wong Ming Mao is currently a Principal Research Engineer in SIMTech. He graduated from the University of Newcastle, Australia in 1989 with a BEng (Mechanical) and from the Nanyang Technological University with a MEng (Mechanical). He has over 20 years of research and industrial experience, with extensive project management in numerous enterprise systems and mission critical applications. He is a Certified Industrial Automation Consultant (CIAC) by the Singapore Industrial Automation Association and conducted training courses for the industries.

    View Mr Wong Ming Mao's researcher portfolio here.

    Dr Zhou Jun Hong is currently a Principal Research Engineer in SIMTech. She graduated from Tsinghua University with a BEng (Automation) in 1987 and from the Nanyang Technological University with a MEng (Electrical) in 1995. She has over 15 years of research and industrial experience in building automation, equipment health monitoring, intelligent condition based maintenance, fault diagnosis and failure prognosis for tool condition monitoring and rotary equipment fault diagnosis. She specialises in using SCADA for machine monitoring and supervisory control.

    View Dr Zhou Jun Hong's researcher portfolio 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.

    The full course fee for a complete Graduate Diploma is S$15,000 before course fee funding and GST.
    The full course fee for each individual module is S$3,000 before course fee funding and GST.

    Graduate Diploma in Mechatronics

    Fee Per Module (Inclusive of 7% GST)

    Singaporeans

    Singapore Permanent Residents

    Foreigners

    Full Course Fee

    NA

    NA

    S$3210.00

    [a] Nett Course Fee
    (after 70% course fee funding)

    S$963.00

    S$963.00

    NA

    [b] Nett Course Fee for SMEs
    (after 70% course fee funding)

    SMEs are entitled to claim S$600 per trainee (under the Enhanced Training Support for SMEs scheme) through SkillsConnect, subject to eligibility criteria

    S$963.00





    (S$600.00)


    S$963.00





    (S$600.00)

    NA

    [c] Nett Course Fee under SkillsFuture Mid-career Enhanced Subsidy (>=40 years old)(90% course fee funding)

    S$363.00

    NA

    NA

    [d] Nett Course Fee under Workforce Training Support (WTS) scheme
    (95% course fee funding)

    S$213.00

    NA

    NA

    NA = Not applicable
    Please note that fees and funding amount are subject to change.

    [a]

    All Singaporeans and Permanent Residents aged 21 years and above can enjoy course fee funding of up to 70% of the course fee.

    [b]

    Singaporean or Permanent Resident employees fully sponsored by SMEs can enjoy course fee funding support of up to 90% of the course fee under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme, subject to eligibility criteria.

    Application for the enhanced funding will be administered through SkillsConnect. SMEs can submit applications and claims through the online SkillsConnect platform and enhanced funding will be awarded to those who meet the eligibility criteria.

    [c]

    Singaporeans aged 40 years and above can enjoy course fee funding of up to 90% of the course fee under the SkillsFuture Mid-career Enhanced Subsidy (SFMCES).

    [d]

    Singaporeans aged 35 years and above with earnings not more than S$2,000 per month can enjoy course fee funding for 95% of the course fee under the Workfare Training Support (WTS) scheme.

    [e]

    Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees.

    *Note: The course participants must also meet the following criteria to qualify for the course fee funding:

    ·       Achieve at least 75% course attendance; and

    ·       Take all assessments

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

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

    View the course schedules here.

    (Click on the respective Commencement Dates to view the course schedules.)
    (Click on the respective Registration Closing Dates to submit your registration online.)
     
     

     
     
     
     
     
             

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