Smart Maintenance

This micro-credential equips learners with skills to implement smart maintenance, leveraging data and sensors to enhance equipment efficiency and reduce downtime.

Course Overview

Domain

Engineering

Format

Micro‑credential Course

Duration

3+ months

Fee Subsidy

Up to 90% SF Funding

In Industry 4.0, smart maintenance enhances equipment efficiency using digital tools, reducing downtime, and optimising performance, creating significant value for companies.

Smart maintenance centres on integrating and analysing data collected from machines, facilities or buildings through advanced sensors. These sensors continuously monitor equipment functionality and performance. Leveraging real-time data enables companies to implement proactive maintenance strategies and enhance equipment health.

This micro-credential provides learners with the knowledge and skills needed to implement a comprehensive smart maintenance strategy. It also introduces the integration of algorithms and monitoring techniques with Failure Mode, Effects, and Criticality Analysis (FMECA) to ensure a robust maintenance approach.

Key topics include maintenance engineering principles, which cover practical methods and tools for developing and maintaining highly reliable plants, products, and services. It focuses on meeting design requirements while reducing life-cycle costs and promoting sustainability.

Learners will gain expertise in smart sensing for condition monitoring, equipping them with the essential skills to design and implement machine monitoring systems with smart sensors for engineering applications. Additionally, they will learn about condition-based maintenance, focusing on machine health monitoring techniques. This includes topics in data cleaning and noise filtering, feature extraction, fault detection, fault diagnosis and machine condition prediction.

This micro-credential is part of the CSM Pathways in Infrastructure and Systems Engineering.

Who Should Attend

Learners with relevant polytechnic backgrounds seeking to augment their skill set with smart maintenance technologies.
Maintenance, production or process engineers in manufacturing, as well as engineers responsible for critical facilities.

Assumed Prior Knowledge

Learners are required to have knowledge of programming, engineering mathematics and data analytics.

What You Will Learn

This micro-credential is predominantly delivered through a competency-based education (CBE) approach where learners acquire and demonstrate mastery of knowledge and skills that are directly relevant to job functions. This prepares them to be industry-ready where they can apply their newly acquired competencies to their work.

List of Competency Units

Code	Competency Unit Title	Credits
ENG2400C	Maintenance Engineering	6
ENG3400C	Smart Sensing for Condition Monitoring	6
ENG3401C	Condition-based Maintenance	6

The above are competency units that constitute this micro-credential. Upon completion of the micro-credential, you will be able to:

Analyse the reliability of engineering systems and recommend improvements in maintenance-related activities using tools such as Root Cause Analysis, Fault Tree Analysis and Failure Mode, Effects, and Criticality Analysis (FMECA).
Design and build machine condition sensing and data acquisition solutions by applying sensing principles for machine conditions, integration of sensors with embedded hardware and data acquisition and utilisation of IoT and cloud technology for ‘smart’ sensing.
Implement a fault detection and diagnosis system and apply data analytics for machine condition prediction.

Coaching for Success

During the course, you will have access to a team of qualified success coaches who can work with you on learning strategies or to develop a personalised learning plan. Through the success coaches, you can gain access to a wide range of resources and support services, and be empowered with the necessary tools to navigate your learning journey successfully.

Teaching Team

Zhou Junhong

Associate Professor, Engineering, Singapore Institute of Technology

Hoh Hsin Jen

Assistant Professor, Engineering, Singapore Institute of Technology

Gan Hiong Yap

Associate Professor, Engineering, Singapore Institute of Technology

Kiew Choon Meng

Assistant Professor/Prog Leader, Engineering, Singapore Institute of Technology

Ng Bor Kiat

Associate Professor, Engineering, Singapore Institute of Technology

Wang Yu

Senior Professional Officer, Singapore Institute of Technology

Vincent Chan Siang Huat

Senior Professional Officer, Singapore Institute of Technology

Schedule

Week	Learning Activity	Delivery, Location and Time
1 – 12	Self-directed learning (pre-recorded videos) and discussion forum	Asynchronous online
1 – 12	Integrative session	Synchronous online
3, 5, 8, 11, 12 & 13	In-class assessments	In-person SIT@Dover

Certificate and Assessment

A Specialist Certificate in Smart Maintenance will be issued to learners who:

Attend at least 75% of the course and
Undertake and pass all credit bearing assessments

Assessment Plan

The learner will undertake a combination of quiz tests and projects

Fee Structure

The full fee for this course is S$10,006.20.

Category	After SF Funding
Singapore Citizen (Below 40)	S$3,001.86
Singapore Citizen (40 & Above)	S$1,165.86
Singapore PR / LTVP+ Holder	S$3,001.86
Non-Singapore Citizen	S$10,006.20 (No Funding)

Note:

A one-time, non-refundable matriculation fee of $54.50 will be collected before course commencement.
All fees above include GST. GST applies to individuals and Singapore-registered companies.

Course Runs

January 2025

06 Jan 2025 - 11 Apr 2025

3+ months

Blended

SIT@Dover, 10 Dover Drive S138683

SGD $10,006.20

Up to 90% SF Funding

Apply By:

24 Nov 2024 23:59

Registration Closed

Learning Pathway

Earn Stackable Specialist Certificates

Earn micro-credentials in Infrastructure and Systems Engineering (ISE) via the CSM Pathway and unlock career opportunities across various industries. Stack these micro-credentials towards a Bachelor of Engineering (Honours) in ISE at SIT.

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