Equipment state trend analysis and fault diagnosis method

A technology of trend analysis and fault diagnosis, which is applied in the field of trend analysis and fault diagnosis of industrial equipment, and can solve problems such as prediction and judgment of equipment failure time due to the remaining operating time of the equipment

Pending Publication Date: 2021-07-06
瑞湖智科数据(苏州)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method cannot predict and judge the remaining operating time of the equipment and the expected equipment failure time

Method used

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  • Equipment state trend analysis and fault diagnosis method
  • Equipment state trend analysis and fault diagnosis method

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Embodiment 1

[0038] This embodiment provides a method for equipment status trend analysis and fault diagnosis, including the following steps:

[0039] S1. Obtain historical operating parameters of the equipment to be diagnosed;

[0040] S2. Preprocess the historical operating parameters to obtain the analysis data set; to meet the time domain and frequency domain analysis requirements of the historical operating parameters; it should be noted that the analysis data set is used as a follow-up trend analysis algorithm and / or fault diagnosis algorithm The input parameter set can be set as a temperature risk data set or a vibration analysis data set according to the choice of equipment judgment;

[0041] S3. Establish a trend algorithm model according to the analysis data set;

[0042] S4. Obtain the current operating parameters of the equipment to be diagnosed, and input the current operating parameters into the current trend algorithm model, and then compare the current operating parameters...

Embodiment 2

[0050] This embodiment provides a method for equipment status trend analysis and fault diagnosis, such as figure 1 shown, including the following steps:

[0051] S1. Obtain historical operating parameters of the equipment to be diagnosed;

[0052]Specifically, the historical operating parameters include a vibration time-series sequence and a temperature time-series sequence; wherein, the vibration time-series sequence is vibration frequency data with time labels, and the temperature time-series sequence is temperature data with time labels. The selection of the vibration frequency data depends on the difference of the equipment to be diagnosed and the difference of the signal acquisition equipment, and can be selected as vibration displacement signal, vibration velocity signal and / or vibration acceleration signal.

[0053] S2. Preprocess the historical operating parameters to obtain the analysis data set; to meet the time domain and frequency domain analysis requirements of t...

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Abstract

The invention relates to the technical field of trend analysis and fault diagnosis of industrial equipment, and aims to provide an equipment state trend analysis and fault diagnosis method which comprises the following steps: acquiring historical operation parameters of equipment to be diagnosed; preprocessing the historical operation parameters to obtain an analysis data set; establishing a trend algorithm model according to the analysis data set; obtaining current operation parameters of the equipment to be diagnosed, inputting the current operation parameters into the current trend algorithm model, and comparing the current operation parameters with preset normal state parameters to obtain the degradation degree of the equipment to be diagnosed; and obtaining a prediction trend curve according to the current trend algorithm model, and obtaining a predictive maintenance time window according to the prediction trend curve, the current operation parameters and a preset standard limit value. The equipment state can be monitored in real time, an equipment user can master the accurate operation condition of the equipment conveniently, and meanwhile, an enough time window is provided for follow-up maintenance of the equipment.

Description

technical field [0001] The invention relates to the technical field of trend analysis and fault diagnosis of industrial equipment, in particular to an equipment state trend analysis and fault diagnosis method. Background technique [0002] At present, the trend analysis and fault diagnosis of industrial equipment mainly adopt the method of manual experience judgment. The equipment management of most enterprises adopts the method of planned maintenance, that is, to collect the operating parameters of the equipment in operation at the planned time node, and then judge the current operation status of the equipment through the manual experience of engineers. However, this method mainly draws conclusions based on the data at that time, and cannot judge the future operation trend of the equipment. In some enterprises with better information construction, the historical operation data of the equipment will be collected, and the equipment operation status will be displayed in real ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/00
CPCG06Q10/0639G06Q10/20
Inventor 李胜王勇赵明钟志成
Owner 瑞湖智科数据(苏州)有限公司
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