Building Predictive Maintenance Software Using Artificial Intelligence for Turbomachinery Application
9 - 10 JUNE 2025
MS TEAMS
(ONLINE)
9.00AM - 5.00PM
RM 1,350 FOR PROFESSIONALS
10% Discount for Early Bird (until 9 May 2025) / Group / Students
INTRODUCTION
This program aims to upskill user’s knowledge and skills related to Turbomachinery and Artificial Intelligence operation and software and hardware development. This short course provides hands-on experience in building scalable Artificial Intelligence product for IR4.0 environment in Turbomachinery application. This includes the understanding of Artificial Intelligence algorithms, familiarization with Turbomachinery operation, building own software and hardware and finally integrating whole system into a final product. It aims to increase users’ confidence to apply the AI knowledge by providing the structured guidelines which applicable to all fields. By the end of the course, participants will be able to develop the Artificial Intelligence software, Artificial Intelligence hardware, whole system integration by applying fundamental knowledge for IR4.0 scalable product.
Turbomachinery
Artificial Intelligence Software
System Integration
OBJECTIVES
Upon completion of this course, participants will be able to:
WHO SHOULD ATTEND?
1. Dr Madiah Binti Omar (UTP)
MADIAH OMAR is a lecturer under Chemical Engineering Department at Universiti Teknologi PETRONAS (UTP), Seri Iskandar, Perak, Malaysia. She is a classy IR4.0 academician with over 6 years’ experience in Artificial Intelligence (AI), Modelling, Predictive Maintenance, Digital Twin, Hardware Integration and System Engineering for Rotating Equipment and Chemical Processes Application. Driven to bridging the academia and industry together, her work involves multiple industrial collaborators and experienced in machine learning deployment to the field. Her current interest in IR4.0 focuses on realization of brilliant AI ideas into products.
2. Associate Professor Ir. Dr Rosdiazli (UTP)
3. Associate Professor Ir Dr Nursyarizal Mohd Nor (UTP)
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
*fee quoted does not include SST, HRDF service fee, GST/VAT or withholding tax (if applicable).
Centre for Advanced & Professional Education (CAPE)
Level 8, Permata Sapura, Kuala Lumpur City Centre, 50088 Kuala Lumpur
+605 - 368 7558 /
+605 - 368 8485
cape@utp.edu.my