FAILURE CAUSE CLASSIFICATION APPARATUS
First Claim
1. A failure cause classification apparatus comprising a processing part, the processing part being configured to:
- (1) learn features from sensor data on a machine failure;
(2) given the result of learning, obtain similar features from among the features of at least two failure causes;
(3) compare the similar features obtained; and
(4) obtain an influence value serving as an index for selecting a sensor effective for classifying the machine failure from the result of comparing.
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Accused Products
Abstract
Selection of sensors requires the knowledge of individual sensors mounted on a target machine and the knowledge of mechanical features of the machine. In the past, experts having mechanical knowledge selected the sensors. The present invention involves analyzing sensor data at e of machine failure, extracting features from the sensor data regarding each failure cause, and comparing the extracted features so as to clarify the difference between the sensor data about the failure causes and present an operator with the clarified difference thereby to support sensor selection. The invention makes it possible to select more simply than before the sensors considered effective for classifying failure causes. For example, the sensors deemed effective for classifying failure causes without mechanical knowledge can be selected.
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Citations
11 Claims
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1. A failure cause classification apparatus comprising a processing part, the processing part being configured to:
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(1) learn features from sensor data on a machine failure; (2) given the result of learning, obtain similar features from among the features of at least two failure causes; (3) compare the similar features obtained; and (4) obtain an influence value serving as an index for selecting a sensor effective for classifying the machine failure from the result of comparing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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Specification