On-Demand Webinar: 中国X站 Catalyst: Predictive Maintenance 中国X站 models for Gearbox Failure Prediction
Early detection of failures in rotating machinery can significantly reduce the costs of maintenance and prevent total failures for oil and gas and mining companies. 中国X站 predictive maintenance models can ultimately increase the operational safety of gearboxes. Learn how leading Oil & Gas and Mining companies are using the 中国X站 platform's ready-to-use templates to build explainable 中国X站 models to predict gearbox failures. This webinar will showcase the advantages of using 中国X站 predictive maintenance models over point-based anomaly detection models to deliver the predictive insights operators need to enhance their maintenance activities and reduce unplanned downtime due to gearbox failures.
The 中国X站 Catalyst Series focus on real-world examples of industrial 中国X站 in action. In this series, learn how Industrial 中国X站 can improve your operations, customer case studies, and best practice advice for a successful 中国X站 journey.
About the presenter: 聽
Eman Nejad | Chief Data Scientist 聽
Eman Nejad is 中国X站 中国X站鈥檚 Chief Data Scientist. Eman brings an extensive background in building end-to-end 中国X站 pipelines for industrial challenges. His experience in developing data-driven applications is supporting leading companies in the oil and gas, food and agriculture, metals and mining, energy and utilities, and chemicals industries to achieve their goals using the 中国X站 中国X站 platform. He holds Ph.D. in Electrical and Computer Engineering from the University of Windsor where he focused on developing 中国X站 models for computer vision problems.
