This case study is done in association with a global rail company where VibCloud is utilised for ongoing locomotive monitoring for many years now. Case study demonstrates how to analyse vibration in order to determine bearing condition.
Condition monitoring applications continue to grow in importance, as equipment manufacturers look to increase asset utilization with real-time monitoring of equipment, extend equipment lifespans, and increase throughput by utilizing predictive maintenance techniques to reduce maintenance costs and asset downtime..
Industry 4.0 applications generate a huge volume of complex data—big data. This naturally increases the potential for generating added value along the entire value chain. Only with relevant, high quality, and useful data—smart data—can the associated economic potential be unfolded...
Acceleration enveloping is the sophisticated signal processing technique that helps to pinpoint bearing failure at an early stage. Below is a guide of how to successfully implement it...
Within the vibration community, it is commonly accepted to describe a spalling process in a bearing in four stages; from the first microscopic sign to a severely damaged bearing...
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