Overview This course will equip participants with the technical skills to apply machine learning algorithms and deploying practical Artificial Intelligence (AI) models with an industrial edge controller for anomaly detection and predictive maintenance. The course will also cover the essential concepts and background for data analysis on supervised and unsupervised …
Overview This is a basic course in Predictive Analytics for Maintenance The course aims to equip the participant with the following: An appreciation of statistical concepts that underpin Predictive Maintenance ideas An understanding of simple statistical process monitoring techniques used in tracking developments of critical measurements An understanding of Correlation …
Overview This applied learning workshop comprises two learning phases: Phase 1 (2 days) prepares participants with the foundational skills and knowledge required to get started with machine learning development. In this phase, we explain the various machine learning techniques, share use cases, prepare machine learning-ready data, perform modelling and prediction, …
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 …