Vibration Analysis Utilizing Unsupervised Learning

Many manufacturing environments have implemented methods of collecting data from their processes relating to vibration, temperature, or sound. With the data stored, manufacturers can run analytics to plan maintenance schedules and track machine health. However, in many cases, these maintenance schedules and health tracking are largely reactionary, largely implemented through experience rather than through predicting the onset of critical events...