Fault diagnosis method and device for sensor

A fault diagnosis and fault diagnosis model technology, applied in the direction of instruments, special data processing applications, biological neural network models, etc., can solve problems such as difficult data characteristics, achieve strong robustness, improve fault diagnosis performance, and improve sensitivity Effect

Pending Publication Date: 2021-06-11
STATE GRID SHANDONG ELECTRIC POWER +1
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] The invention provides a sensor fault diagnosis method, which is used to solve the existing problem that it is difficult to fully extract the data characteristics reflected in the sensor time series during the normal operation of the air-cooled refrigerator system

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  • Fault diagnosis method and device for sensor
  • Fault diagnosis method and device for sensor
  • Fault diagnosis method and device for sensor

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Embodiment Construction

[0054] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the...

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Abstract

The invention provides a fault diagnosis method and device for a sensor, and the method comprises the steps: constructing a fault diagnosis model based on a coding and decoding network, adding a data attention mechanism into a coder of the fault diagnosis model, and adding a time attention mechanism and a fusion module into a decoder; and training the fault diagnosis model, determining a fault threshold value of the sensor, and performing fault diagnosis of the sensor based on the fault threshold value. On the basis of a traditional encoder-decoder network (EDN), a novel data-time attention network (DAN) for air conditioning unit sensor fault diagnosis is provided, and the problem that reading of a sensor shows dynamic data-time dependence due to an operation mechanism of an air conditioning unit system, and is prone to being influenced by external factors and control parameters is solved When fault diagnosis is carried out based on the model, the method is more sensitive to deviation faults, and the fault diagnosis performance of the sensor is greatly improved.

Description

technical field [0001] The invention relates to the technical field of fault detection and diagnosis of building air-conditioning systems, in particular to a sensor fault diagnosis method and device. Background technique [0002] In industrial and commercial buildings, heating, ventilation and air conditioning (HVAC, Heating Ventilation and Air Conditioning, heating ventilation and air conditioning) systems are a significant part of the energy consumption. Specifically, air-conditioning units consume more than 40% of the total energy of air-conditioning. Accurately measuring sensors are responsible for real-time data logging and performance monitoring, which play a vital role in optimal control and energy management. However, during long-term operation, there is no guarantee that most sensors will always be in good condition. Using readings from faulty sensors as feedback leads to improper control strategies, resulting in wasted energy, shortened equipment life, and reduce...

Claims

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Application Information

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IPC IPC(8): G06F30/20G01D18/00G06N3/04
CPCG06F30/20G01D18/00G06N3/044
Inventor 胡旭冉何峰周志坚张德才鲍新朱凯枫蒋超窦昊宁王宝勇苏欣王浩
Owner STATE GRID SHANDONG ELECTRIC POWER
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