Summary 
How can we use high-quality vibration readings for condition monitoring but also to optimize production processes? Machine learning, Industry 4.0, and prognostics are important concepts to increase production flow and to ensure product quality. In this free webinar, HD technology has been used to extract information from critical machines in the mining, pulp and paper sectors. By using vibration data in a non-conventional way, it is possible to extract parameters important for the understanding of machine behavior. These parameters are exported via a Rest API interface for the machine learning process itself.

Learning Takeaways
– The presentation will introduce HD condition monitoring technology, the Rest API interface, and show practical results from real world case studies.
– Participants will learn how production and maintenance can benefit from a common platform.

About the Presenter 
Ron has over 20 years of experience in the maintenance and reliability fields, primarily focusing on condition monitoring products related to vibration analysis across many industries. Ron has extensive experience in wireless and on-line condition monitoring systems, and his most recent notable work is in the wind energy and mining industries. Ron’s career started in the US Army where he spent time as a Combat Vehicle Mechanic. Other early career experiences include oil analysis on high voltage transformers and work in the power generation plants where he began focusing on predictive maintenance techniques. Ron has studied electronics at the National Institute of Electronics, holding many certifications in predictive maintenance technologies such as thermography and vibration analysis. Ron is Managing Director for SPM Instrument Inc. USA, a global leader in condition monitoring that exclusively develops and markets all the advanced technologies to measure, analyze and present condition data from complex machinery.