Abstract: A method and apparatus for diagnosing the mechanical condition of a machine. The method of the invention includes the following steps: sensing a reference vibrational signal of the machine; creating a reference set of events from the reference vibrational signal of the machine; saving the reference set of events; sensing a test vibrational signal of the machine; creating a test set of events from the test vibrational signal of the machine; and, comparing the test set of events with the reference set of events to determine the mechanical condition of the machine. The invention further includes a method of extracting a set of events from a vibrational signal of a machine wherein a subset of the events corresponds to a physical action of the machine. The invention also includes a method of determining a set of clustered events for a machine from a plurality of sets of events, wherein each of the sets has a number of events therein.

Abstract: The invention provides a method and apparatus for diagnosing the mechanical condition of a machine. The method of the invention includes the following steps: sensing reference vibrational characteristics of a machine in the time domain; creating a reference signature from the reference vibrational characteristics; saving the reference signature; sensing test vibrational characteristics of the same machine in the time domain; creating a test signature from the test vibrational characteristics; automatically computing a measured distance between at least one point of the reference signature and at least one corresponding point on the test signature; automatically comparing the measured distance against a threshold value to determine if the machine is operating normally or abnormally; and providing a signal when the comparison indicates abnormal operation. An apparatus is also disclosed for implementing the method of the invention.