The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 08, 1998

Filed:

Aug. 13, 1996
Applicant:
Inventors:

Atsushi Irie, Tsukuba, JP;

Kiyotoshi Okura, Tsuchiura, JP;

Atsushi Osada, Mitsukaido, JP;

Yoshiyuki Morita, Tsukuba, JP;

Hidenobu Umeda, Ushiku, JP;

Yukio Ogawa, Kyotanabe, JP;

Koichi Furusawa, Tsukuba, JP;

Naoki Fujimoto, Nagaokakyo, JP;

Assignee:

Omron Corporation, Kyoto, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08B / ;
U.S. Cl.
CPC ...
340683 ; 36455101 ; 36455102 ; 73579 ; 73612 ; 73659 ; 73660 ;
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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