Anyone familiar with the necessity of maintaining a mechanical machine knows how important the sounds and vibration it makes are. Sebastien Christian, Analog Devices, discusses how proper machine health monitoring through sound and vibration can cut maintenance costs in half and double the lifetime. Implementing live acoustic data and analysis is another important approach for condition-based monitoring (CbM) systems. We can learn what the normal sound of a machine is. When the sound changes, we identify it as abnormal. Then we may learn what the problem is so that we can associate that sound with a specific issue. Identifying anomalies takes a few minutes of training, but connecting sounds, vibrations, and their causes to perform diagnostics can take a lifetime. There are experienced technicians and engineers with this knowledge, but they are a scarce resource. Instinctively recognising a problem from sound alone can be difficult, even with recordings, descriptive frameworks, or in-person training with experts.
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