Machine Learning for Predictive Maintenance in Buildings
This online engineering PDH course examines machine learning applications for predictive maintenance in modern building systems.
Predictive maintenance uses operational data, sensors, and machine learning algorithms to identify equipment degradation and predict potential failures before they occur.
Building equipment performance varies with operating conditions, equipment age, usage patterns, and system interactions, requiring continuous data collection and analysis to identify anomalies and optimize maintenance activities.
This course covers machine learning fundamentals, data collection strategies, building automation systems, IoT sensors, and predictive maintenance applications for HVAC, electrical, elevator, and plumbing systems. It also emphasizes practical implementation strategies for reducing equipment downtime, maintenance costs, and unplanned failures while improving building performance.
This 1 PDH online course is applicable to mechanical and electrical engineers, as well as other technical professionals who are interested in learning more about machine learning-based predictive maintenance for building systems.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Understanding the evolution of building maintenance from reactive to machine learning-based predictive strategies
- Familiarizing with machine learning concepts including supervised learning, anomaly detection, and time-series analysis
- Learning how building automation systems and IoT sensors support predictive maintenance data collection
- Understanding predictive maintenance applications for HVAC equipment and common failure modes
- Familiarizing with electrical fault prediction using transformer, power quality, and thermal monitoring
- Learning how predictive maintenance is applied to elevator and vertical transportation systems
- Understanding implementation strategies, pilot projects, phased deployment, and CMMS integration
- Familiarizing with BIM and digital twin applications that enhance predictive maintenance capabilities
- Understanding edge computing architectures and their benefits for building maintenance systems
- Learning about emerging technologies including federated learning, large language models, and autonomous maintenance
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.