AI Enhanced Wireless Condition Monitoring

Artificial intelligence (AI) is redefining vibration‑based condition monitoring by enabling earlier, more accurate detection of mechanical anomalies across industrial equipment. Traditional monitoring approaches rely on manual interpretation and fixed thresholds, which often fail to capture subtle or evolving fault signatures in dynamic operating environments. AI‑enhanced platforms address these limitations by applying machine learning models that learn baseline behavior, identify deviations in real time, and automatically classify emerging fault conditions. By combining wireless sensing and edge analytics, AI provides continuous, scalable monitoring with actionable insights that reduce false alarms and support predictive maintenance strategies.

Please join Daniel Mendoza with the Vertex Industrial Communications Group for an informative and educational webinar on July 23rd from 12:00 PM-to-1:00 PM on the subject.

https://events.teams.microsoft.com/event/2ff7d21d-db49-45a7-8d75-d68260883040@4b8120a6-bf2f-4853-bf33-f5b28d7911ec

Daniel has been in instrumentation and technology for 7 years and works with manufacturers all over the U.S. to support critical process equipment specializing in IIoT.