System and method for detecting abnormality of bearing

An abnormality detection and bearing technology, applied in mechanical bearing testing, special data processing applications, instruments, etc., can solve the problems of abnormal insensitivity and low efficiency of bearing abnormality detection, and achieve the effect of improving the sensitivity.

Active Publication Date: 2014-08-27
SOUTHEAST UNIV
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  • Abstract
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Problems solved by technology

[0005] In view of the shortcomings of the prior art described above, the present invention provides a bearing anomaly detection system and its method, which are used to solve the loss of useful information in the symbol sequen

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  • System and method for detecting abnormality of bearing
  • System and method for detecting abnormality of bearing
  • System and method for detecting abnormality of bearing

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Embodiment Construction

[0032] The technical solutions of the invention will be described in detail below in conjunction with the accompanying drawings and examples, but the protection scope of the present invention is not limited to the examples.

[0033] figure 1 It is a schematic frame diagram of the bearing abnormality detection system of the present invention. like figure 1 As shown, the present invention provides a bearing anomaly detection system proposed by the present invention, which includes: an acceleration sensor, which is used to collect vibration signals of bearing operation at a certain time interval to form an original time series; computer equipment, which is used to input the The original time series, and specifically execute the following programs: the symbolization module is used to symbolize the original time series collected above using the probability density symbolization method, and to form a symbolized time series; the coding module is used to symbolize the symbols The ti...

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Abstract

The invention discloses a symbolizing system and method for detecting abnormality of a bearing. The method comprises the steps of firstly, acquiring vibrating signals during the running time of the bearing at a certain time interval by utilizing an acceleration sensor, wherein vibrating data xn with the length as n can be acquired at each time; then performing probability density symbolization on each vibrating data; converting original vibrating signals into a symbolized sequence sn; determining a word length L of a coded sequence and coding the symbolized sequence sn; finally, calculating a standard difference of the coded sequence of each vibrating data and regarding the standard difference as a characteristic quantity for the abnormality detection of the running condition of the bearing. Compared with the traditional symbolizing method, the probability density symbolizing method adopted in the invention is more sensitive to the abnormal information of the bearing and can find faults earlier, so that great significance is achieved for the fault prevention, bearing maintenance and safe production.

Description

technical field [0001] The invention relates to the technical field of bearing fault diagnosis, in particular to a bearing abnormality detection system and method based on symbolic dynamics. Background technique [0002] Anomaly detection in a mechanical system refers to extracting features from a given data set, and using the extracted features to judge whether its state is normal or abnormal. With the rapid development of science and technology and modern industry, machinery and equipment in the machinery, energy, petrochemical, transportation and national defense industries of the national economy are increasingly large, high-speed, integrated and automated, which provides a strong guarantee for the rapid development of my country's economy . However, catastrophic accidents caused by mechanical equipment failures occur frequently. If the abnormal state of the mechanical system can be accurately and timely identified, it will be of great significance to the safe operation ...

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Application Information

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IPC IPC(8): G06F19/00G01M13/04
Inventor 严如强胡世杰
Owner SOUTHEAST UNIV
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