Patent Number: 
Section: claims

1. A method for detecting and analyzing anomalies in a machine during operation, including:receiving sensed signals from the machine indicative of vibration;receiving sensed signals from the machine indicative of non-vibration characteristics;receiving audio signals from a transducer positioned about components on the machine;correlating audio signals received from the transducer with sensed signals received from the machine indicative of vibration and non-vibration characteristics;cross-correlating all correlated signals;determining a location of an anomaly in the machine based on the cross-correlation; andtransmitting the determined location of the anomaly to a user at a desired location. 2. A method, as set forth in claim 1, wherein determining a location of an anomaly includes the step of determining a location of a vibration emanating from a component. 3. A method, as set forth in claim 1, wherein receiving audio signals from a transducer includes the step of receiving audio signals from a transducer as the transducer moves in relation to a component. 4. A method, as set forth in claim 1, wherein correlating audio signals received from the transducer with sensed signals received from the machine indicative of vibration and non-vibration characteristics includes the step of correlating audio signals with sensed signals to find a location of a strongest correlation between the audio and sensed signals. 5. A method, as set forth in claim 4, wherein cross-correlating all correlated signals includes the step of determining a location of a strongest cross-correlation, the determined location being indicative of a component being a source of the anomaly. 6. An apparatus for detecting and analyzing anomalies in a machine during operation, comprising:at least a first sensor configured to detect a parameter indicative of vibration;at least a second sensor configured to detect a non-vibration parameter;a transducer configured to receive audio signals related to components of the machine;a first model to correlate the received audio signals with the detected vibration and non-vibration parameters; anda second model to cross-correlate all correlated signals to determine a location of an anomaly in the machine based on the cross-correlation. 7. The apparatus of claim 6, wherein the second model is a neural network model. 8. The apparatus of claim 6, wherein the first model is an autoregression algorithm model. 9. The apparatus of claim 6, wherein the second model is a Fast Fourier Transform control model. 10. The apparatus of claim 6, wherein the non-vibration parameter includes temperature. 11. The apparatus of claim 6, wherein the non-vibration parameter includes humidity.