Failure cause classification apparatus
First Claim
1. A failure cause classification apparatus comprising:
- a processing part; and
a failure database, wherein;
the failure database stores machine failure causes of vehicles in relation with sensor data of the vehicles,the sensor data include at least one of an accelerator position, an engine speed and a temperature, andthe processing part is configured to;
learn failure features from the sensor data stored in the failure database;
based on a result of learning, obtain similar failure features from among the failure features of at least two machine failure causes;
compare the similar failure features obtained; and
obtain an influence value serving as an index for selecting a sensor effective for classifying the machine failure causes based on a result of comparing, wherein;
the influence value includes an effectiveness value indicating whether a candidate sensor is effective for classifying the machine failure causes; and
a selection screen for selecting sensors, wherein the selection screen displays a sensor selection part that displays the influence value and sensor identifications and allows the candidate sensor to be selected.
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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
10 Claims
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1. A failure cause classification apparatus comprising:
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a processing part; and a failure database, wherein; the failure database stores machine failure causes of vehicles in relation with sensor data of the vehicles, the sensor data include at least one of an accelerator position, an engine speed and a temperature, and the processing part is configured to; learn failure features from the sensor data stored in the failure database; based on a result of learning, obtain similar failure features from among the failure features of at least two machine failure causes; compare the similar failure features obtained; and obtain an influence value serving as an index for selecting a sensor effective for classifying the machine failure causes based on a result of comparing, wherein; the influence value includes an effectiveness value indicating whether a candidate sensor is effective for classifying the machine failure causes; and a selection screen for selecting sensors, wherein the selection screen displays a sensor selection part that displays the influence value and sensor identifications and allows the candidate sensor to be selected. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification