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Fault detection method and device, storage medium and electronic device

A detection method and detection device technology, applied in the computer field, can solve problems such as lack of integrity in fault detection, and achieve the effect of improving efficiency and diversity

Active Publication Date: 2019-12-20
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a fault detection method and device, a storage medium, and an electronic device, to at least solve the problem of setting different alarm thresholds for different sensors in the related art and relying more on experience to set them, resulting in fault detection lack of completeness

Method used

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  • Fault detection method and device, storage medium and electronic device
  • Fault detection method and device, storage medium and electronic device
  • Fault detection method and device, storage medium and electronic device

Examples

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Embodiment 1

[0017] The method embodiment provided in Embodiment 1 of the present application may be executed in a terminal, a computer terminal, or a similar computing device. Take running on the terminal as an example, figure 1 It is a hardware structural block diagram of a terminal of a fault detection method in an embodiment of the present invention. Such as figure 1 As shown, the terminal 10 may include one or more ( figure 1 Only one is shown in the figure) processor 102 (processor 102 may include but not limited to processing devices such as microprocessor MCU or programmable logic device FPGA) and memory 104 for storing data. Optionally, the above-mentioned terminal can also be A transmission device 106 for communication functions and an input and output device 108 are included. Those of ordinary skill in the art can understand that, figure 1 The shown structure is only for illustration, and does not limit the structure of the above-mentioned terminal. For example, terminal 10...

Embodiment 2

[0046] In this embodiment, a fault detection device is also provided, which is used to implement the above embodiments and preferred implementation modes, and what has been described will not be repeated. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0047] image 3 is a structural block diagram of a fault detection device according to an embodiment of the present invention, such as image 3 As shown, the device packs:

[0048] (1) acquisition module 32, used to acquire the first sample data for training the regression model, wherein the duration of the first sample data is a preset duration;

[0049] (2) processing module 34, for using the last second of the preset time length as the label of ...

Embodiment 3

[0057] An embodiment of the present invention also provides a storage medium, in which a computer program is stored, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.

[0058] Optionally, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for performing the following steps:

[0059] S1. Obtain first sample data for training the regression model, where the duration of the first sample data is a preset duration;

[0060] S2, using the last second of the preset time as the label of the regression model, and extracting from the first sample data before the label within the preset time for training the regression model;

[0061] S3. Output the data to be verified to the trained regression model, and determine that the data to be verified is fault data when the mean square error output by the trained regression model is greater than a preset threshold.

[0062] Optional...

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Abstract

The invention provides a fault detection method and device, a storage medium and an electronic device. The method comprises: acquiring first sample data used for training a regression model, and the duration of the first sample data bing preset duration; taking the last second of the preset duration as a label of the regression model, and extracting first sample data before the label in the presetduration for training the regression model; and outputting the to-be-verified data to the trained regression model, and determining the to-be-verified data as fault data under the condition that themean square error output by the trained regression model is greater than a preset threshold. According to the invention, the problem of lack of integrity of fault detection due to the fact that setting of different alarm thresholds for different sensors needs to depend on experience in the prior art is solved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a fault detection method and device, a storage medium and an electronic device. Background technique [0002] With the development of sensor technology, different devices are inseparable from the monitoring of sensors. However, in actual scenarios, due to the rarity of failures, although it is easy to collect sensor data when the equipment is running normally, it is difficult to collect sensor data when the equipment is faulty. Coupled with the variety of potential fault types, it is difficult to pre-set different fault states. How to use sensor data in a normal state to train a model for early warning of faults has become an urgent problem to be solved. [0003] In this regard, in the prior art, different alarm thresholds are set for different sensors, and when the data collected by the sensors reaches the threshold, an alarm is triggered. However, setting the threshold in this way r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 林晓明江金陵
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD