pROGNOSTICS AND HEALTH MANAGEMENT
Anomaly Detection
Enhancing manufacturing efficiency through advanced anomaly detection systems, enabling proactive identification and resolution of abnormalities. Real-time monitoring of data, enabling prompt intervention to minimize downtime and optimize productivity.
Vision Based Fault Diagnosis
motion amplification
Human eye-level diagnosis Amplifying and magnifying subtle movements invisible to the naked eye, AI-powered machine vibration video diagnosis utilizing deep learning classification
Domain Adaptation
The field of research focuses on developing domain-adaptive condition monitoring technology that takes into account variations in driving conditions, as the operating conditions of a system are not always constant. It considers various driving conditions such as system types, operating conditions, and load conditions.
Prognosis
The term "Remaining Useful Life" (RUL) refers to the remaining operating time or expected lifespan of a machine before it requires repair or replacement. The research field focuses on creating RUL prediction models by utilizing data acquired from the operational state of the target system. The goal is to predict the system's residual life, enabling proactive maintenance and decision-making