Unraveling the Potential of Vibration Data to Optimize Industrial Processes

Christer Larsson, SPM Academy, SPM Instrument

Description

Vibration monitoring is traditionally used for detecting abnormal machine behaviours relating to the mechanical condition. But the high-resolution, low-noise vibration data obtained when using patented HD condition monitoring technology enables the visualization not only of signals originating from mechanical parts but also from the process itself. Analysing these signals provides added insights into process dynamics, making it possible to improve and maximize process efficiency.

This presentation goes through multiple examples of using HD vibration data to improve processes. The presentation is suitable for everyone regardless of experience, is easy to follow, and provides many educational explanations. The aim is to inspire practitioners to look beyond traditional condition monitoring and widen their scope to include monitoring process-related signals. Taking full advantage of high-definition vibration data can unlock hidden potentials to achieve higher yields and consistently higher-quality products, thus significantly impacting bottom line profits.

Bio

Christer Larsson, born 1968 in Sweden, has a work background as a mechanical engineer working for car manufacturer Volvo Cars, electric utility provider Eon ES, and ABB Motor & Generator Services. Since November 2015, he is the Head of SPM Academy training at SPM Instrument. Christer has thirty years of experience in condition monitoring, including an extensive understanding of machine tooling equipment and high precision spindles. He has done vibration and electrical motor diagnoses on-shore, off-shore, underground, and in the air, for a wide range of machines. He is a Mobius Institute instructor since 2005 and is CAT IV certified.