The way we extract value from data represents the cornerstone of our monitoring expertise. We have analyzed many years of data for many types of machines and operating conditions, with and without faults. And we have re-fined them into the state-of-the-art monitoring measurement techniques.
Raw signals from sensors are the first link to machine monitoring systems. However, these are not always useable for automatic fault detection and diagnostic purposes, especially for vibration signals. We still store the raw signals because of the value they have for post-processing diagnostics. But some are also processed in the data acquisition system to a more useable form. That’s why we can detect one or more potential failure modes at an early stage of development. Trending these failure modes will reliably predict useful remaining life of the machine component being monitored. We use other measurements purely for diagnostic purposes, for better localizing the fault, identifying the type of fault and determining its severity for assessing lead-time to maintenance. We also make special plots for some of these monitoring techniques.
There are international standards on vibration measurements for machine protection monitoring. Many of those for machine condition monitoring, however, are refined to a unique level sophistication based on experience gained over the years. A lot of experience goes into judging which type of monitoring techniques are best suited to the faults being detected and diagnosed. The same is true for defining the type of sensor needed and its placement.
Some of the Brüel & Kjær Vibro monitoring techniques include the ones described hereafter, but many more types are also available. Talk to your sales representative or contact us for more information.