Overview
This course aims to provide participants with knowledge, techniques and skills in data collection, analysis for predictive maintenance and optimal maintenance planning. Data from machine sensors, operation management systems and maintenance activities are analyzed during the training sessions. The latest technology, for example, machine learning based predictive engines and maintenance planning systems, will be introduced to participants for applications on industrial cases and gain hands-on experience.
Learning Objectives:
- Understand the basic concepts and issues in data analysis
- Identify imbalanced data classes
- Perform data processing effectively
- Understand the concept of data-driven predictive maintenance
- Apply data analysis techniques for predictive maintenance modelling
- Leverage the predictive model for optimal maintenance planning
Fees
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Full |
Nett |
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International Participants |
Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders |
Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES) |
SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) |
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S$4,000 |
S$4,360 |
S$1,308 |
S$508 |
S$508 |
Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only).
For corporate training or individual participants, please let us know your preferred date(s) in the Register Interest form below.
