Apparatus and method for monitoring a device having a movable part
An apparatus for monitoring of a device including a moveable part, especially a rotating device, wherein the apparatus includes a control module which receives a measured vibration signal of the device provided by a sensor connected to the device, provides a spectrum of the measured vibration signal, pre-processes the spectrum to determine base frequencies and side frequencies, where the base frequencies are frequencies having peak powers corresponding to eigen frequencies of the device or faulty frequencies and the side frequencies correspond to other frequencies, where the control module additionally processes the base and side frequencies by applying separately a one-class classification on the base and side frequencies, combines the results of the one-class classifications to obtain a classification signal representing a confidence level, and outputs a decision support signal based on the classification signal, where the decision support signal indicates an error status of the monitored device.
1. An apparatus for monitoring a device having a moveable part, the apparatus comprising:
a control module configured to:
receive a measured vibration signal of the device provided by a sensor operatively connected to the device;
provide a spectrum of the measured vibration signal;
pre-process the spectrum to determine base frequencies and side frequencies, base frequencies comprising frequencies having peak powers corresponding to one of (i) eigen frequencies of the device and (ii) faulty frequencies, and side frequencies corresponding to other frequencies,
process the base frequencies and the side frequencies by applying separately a one-class classification on the base frequencies and side frequencies,
combine results of the one-class classifications to obtain a classification signal which represents a confidence level, and
output a decision support signal to a display of a computer based on the classification signal, said decision support signal indicating to a user an error status of the monitored device.
2. The apparatus according to claim 1 , wherein the control module is further configured to reduce a noise level of the vibration transform during pre-processing.
3. The apparatus according to claim 1 , wherein the control module is further configured to apply a threshold value on the vibration transform during preprocessing.
4. The apparatus according to claim 2 , wherein the control module is further configured to apply a threshold value on the vibration transform during preprocessing.
5. The apparatus according to claim 1 , wherein the control module is further configured to determine separately a sum of a power of the base frequencies and the side frequencies, respectively.
6. The apparatus according to claim 2 , wherein the control module is further configured to determine separately a sum of a power of the base frequencies and the side frequencies, respectively.
7. The apparatus according to claim 3 , wherein the control module is further configured to determine separately a sum of a power of the base frequencies and the side frequencies, respectively.
8. The apparatus according to claim 1 , wherein the control module is further configured to consider dependence between the base frequencies and the side frequencies during processing.
9. The apparatus according to claim 1 , wherein the control module comprises neural clouds for providing one-class classification.
10. The apparatus according to claim 9 , characterized in that the control module is configured to train one-class classification based on data received from the vibration signal during error-free operation.
11. The apparatus according to claim 1 , wherein the control module is further configured to utilize a support vector machine to provide one-class classification.
12. The apparatus according to claim 1 , wherein the device comprises a rotating device.
13. A method for monitoring a device having a moveable part, the method comprising:
receiving a measured vibration signal of the device from a sensor operatively connected to the device;
providing a spectrum of the measured vibration signal;
pre-processing the spectrum to determine base frequencies and side frequencies, base frequencies comprising frequencies having peak powers corresponding to one of (i) eigen frequencies of the device and (ii) faulty frequencies, and side frequencies corresponding to other frequencies;
processing the base frequencies and the side frequencies by applying separately a one-class classification on the base frequencies and the side frequencies;
combining results of the one-class classifications to obtain a classification signal representing a confidence level; and
outputting a decision support signal to a display of a computer based on the classification signal, said decision support signal indicating to a user an error status of the monitored device.
14. The method according to claim 13 , wherein the device comprises a rotating device.
15. A non-transitory computer-readable medium including a program executing on a processing device and comprising software code portions of a program which, when executed on the processing device, causes monitoring of a device having a moveable part, the program comprising:
software code for receiving a measured vibration signal of the device from a sensor operatively connected to the device;
software code for providing a spectrum of the measured vibration signal;
software code for pre-processing the spectrum to determine base frequencies and side frequencies, base frequencies comprising frequencies having peak power corresponding to one of (i) eigen frequencies of the device and (ii) faulty frequencies, and side frequencies corresponding to other frequencies;
software code for processing the base frequencies and the side frequencies by applying separately a one-class classification on the base frequencies and the side frequencies;
software code for combining results of the one-class classifications to obtain a classification signal representing a confidence level; and
software code for outputting a decision support signal to a display of a computer based on the classification signal, said decision support signal indicating to a user an error status of the monitored device.