Equipment status detection method and related device

A technology of equipment status and detection method, applied in the field of machine learning, can solve problems such as underutilization of data to be analyzed, and achieve the effect of improving detection accuracy

Active Publication Date: 2021-12-07
HANGZHOU INNOVATION RES INST OF BEIJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Description
  • Claims
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Problems solved by technology

[0003] However, the inventors have found that the related technology does not make full use of the features within the local perception field of view of the data to be analyzed

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  • Equipment status detection method and related device
  • Equipment status detection method and related device
  • Equipment status detection method and related device

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Embodiment Construction

[0029] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0030] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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Abstract

In the device state detection method and related devices provided in this application, the data processing device combines an autoencoder with multiple cyclic neural networks, and reconstructs multiple state feature sets of the device to be detected through the autoencoder, and according to The difference between multiple state feature sets and their respective reconstruction feature sets determines the health status of the device to be detected; since the features to be reconstructed of the autoencoder are encoded by multiple cyclic neural networks with different feature scales respectively Therefore, the information related to the health status of the equipment contained in the equipment status sequence can be fully explored to achieve the purpose of improving the detection accuracy.

Description

technical field [0001] The present application relates to the field of machine learning, and in particular, relates to a device status detection method and a related device. Background technique [0002] Since the health status of industrial equipment is of great significance to the safe production and economic benefits of enterprises, a data-driven monitoring method for industrial equipment health status is proposed. In this method, the sensor is used to collect the equipment state sequence of industrial equipment, the black box is modeled based on the deep neural network, and end-to-end training is carried out, and the industrial equipment health status contained in the massive data is excavated from the spatial dimension and the time dimension. information. [0003] However, the inventors have found that the related technology does not make full use of the features within the local perception field of view of the data to be analyzed. Contents of the invention [0004]...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 郭晓辉牟许东王瑞刘重伟刘品
Owner HANGZHOU INNOVATION RES INST OF BEIJING UNIV OF AERONAUTICS & ASTRONAUTICS
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