Introduction to Predictive Analytics for Maintenance
Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2023036649
S$144
Original: S$480
Save S$336
About This Course
This is an introductory, hands-on course, aiming to equip participants with the following skills:
• Understanding of core concepts underpinning Predictive Analytics for Maintenance;
• Usage of Generative AI to translate these fundamental concepts into clear, executable Python codes;
• Application and execution of the Python workflows in Predictive Maintenance problems;
• Interpretation and communication of results produced by the analyses to support maintenance decisions.
What You'll Learn
By the end of the course, participants will be able to:
• Recognise and apply fundamental concepts used in Predictive Maintenance;
• Use Generative AI to accelerate Python coding for these concepts;
• Validate assumptions, check correctness, and ensure generated code matches the analytical intent
• Execute end-to-end Python analyses on example datasets / case studies selecting appropriate methods for analysis
• Interpret outputs and key results like anomaly signals, failure-time estimates, survival/reliability summaries, in the context of maintenance.
• Recognise and apply fundamental concepts used in Predictive Maintenance;
• Use Generative AI to accelerate Python coding for these concepts;
• Validate assumptions, check correctness, and ensure generated code matches the analytical intent
• Execute end-to-end Python analyses on example datasets / case studies selecting appropriate methods for analysis
• Interpret outputs and key results like anomaly signals, failure-time estimates, survival/reliability summaries, in the context of maintenance.
Entry Requirements
Has an Engineering background, and monitors Manufacturing processes or equipment failure
Course Details
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