Predictive Maintenance & Reliability Engineering With AI
This online engineering CPD course examines the principles, tools, and professional responsibilities associated with AI-driven predictive maintenance and reliability engineering.
Predictive maintenance uses condition monitoring data, such as vibration, oil, and thermal measurements, together with machine learning to anticipate equipment failures before they happen and to perform maintenance only when it is needed.
Because AI is a decision-support tool, its alerts and predictions must be validated, documented, and acted on by a licensed engineer who remains responsible for safety, reliability, and every maintenance decision.
This course covers maintenance strategies, failure modes and condition monitoring techniques, feature engineering, anomaly detection versus fault classification, reliability metrics, and Remaining Useful Life (RUL) estimation. It also explains maintenance thresholds and economic trade-offs, and emphasizes risk-based prioritization with decision matrices and FMEA, clear communication, and thorough documentation.
This 2 CPD online course is applicable to mechanical and civil engineers, as well as other technical professionals who are interested in learning more about predictive maintenance and reliability engineering with AI.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding reactive, preventive, and predictive maintenance approaches
- Familiarizing with condition monitoring techniques such as vibration, oil, and thermal analysis
- Understanding AI anomaly detection, fault classification, and RUL estimation
- Explaining reliability metrics and maintenance decision thresholds
- Familiarizing with risk-based prioritization using decision matrices and FMEA
- Explaining how to validate AI alerts and document maintenance decisions
In this professional engineering CEU course, you need to review the course document titled, “Predictive Maintenance & Reliability Engineering With AI”, prepared by Brian Lisiewski, P.E.
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 2 CPD credits. The quiz will be based on the entire document.
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.