Vibration monitor and monitoring method
First Claim
1. A vibration monitor to monitor an object, comprising:
- a vibration detection unit to detect vibration of said object with a vibration sensor and output a detection waveform of said vibration;
a computer unit to process said detection waveform and determine if said vibration of said object is normal or abnormal;
wherein said computer unit operates in a learning mode to automatically generate a monitoring algorithm based on said detection waveform in a normal condition, said monitoring algorithm is defined by a predetermined number of monitoring features selected from a predetermined number of sampling features in said detection waveform, and said monitoring features evince statistically slight change; and
wherein said computer unit operates in a monitoring mode to monitor said detection waveform according to said monitoring algorithm.
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Abstract
The object of this invention is to produce a monitor which can correctly distinguish normal from abnormal vibration using automatically selected monitoring features and algorithms. The monitor can be used with a variety of devices with different vibration characteristics. The monitor according to this invention has a sensor that detects the vibration of an object. The monitor is operated in learning mode when the object is vibrating normally. The waveform of the vibration detected by this sensor is sampled over an appropriate period and analyzed. The data for each sampling feature are subjected to statistical processing, and the data which evince slight change are extracted as monitoring features. A monitoring algorithm is automatically made for these monitoring features. The algorithm selected in learning mode are used to evaluate the vibration of an object when the monitor is in operating mode. The operator does not need to set up the algorithm, and can monitor the object with a more reliable algorithm than the conventional one selected by fixed monitoring features.
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Citations
28 Claims
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1. A vibration monitor to monitor an object, comprising:
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a vibration detection unit to detect vibration of said object with a vibration sensor and output a detection waveform of said vibration; a computer unit to process said detection waveform and determine if said vibration of said object is normal or abnormal; wherein said computer unit operates in a learning mode to automatically generate a monitoring algorithm based on said detection waveform in a normal condition, said monitoring algorithm is defined by a predetermined number of monitoring features selected from a predetermined number of sampling features in said detection waveform, and said monitoring features evince statistically slight change; and wherein said computer unit operates in a monitoring mode to monitor said detection waveform according to said monitoring algorithm. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A vibration monitoring method to monitor an object, comprising the steps of:
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setting a vibration monitor in a learning mode to learn a normal vibration of an object in normal condition and automatically generating a monitoring algorithm; setting said vibration monitor in a monitoring mode to monitor said object according said monitoring algorithm; wherein said monitoring algorithm is defined by a predetermined number of monitoring features selected from a predetermined number of sampling features in a detection waveform, and said monitoring features evince statistically slight change.
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Specification