Automatic rotating-machine fault diagnosis with confidence level indication

This invention describes a system that listens to the vibrations of spinning machines like those with shafts, rotors, and bearings. It uses sensors to collect data and then a smart computer program, called a Bayesian network, to identify specific faults and indicate how confident it is in its diagnosis. The confidence level is determined by how unique the symptoms of a detected fault are compared to other possible problems.