A Method and System for Eliminating Motor Unsteady Data Based on Electrical Distortion Analysis

A motor and data technology, which is applied in the field of motor instability data elimination, can solve the problems that the motor online monitoring system is difficult to promote and cannot solve the problem of stable data operation, so as to improve fault misjudgment and missed judgment, improve application value, and broaden application prospects Effect

Active Publication Date: 2021-05-14
GUIZHOU WUJIANG HYDROPOWER DEV +1
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  • Description
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Problems solved by technology

However, it is impossible to solve the problem that there are only on-site electromagnetic interference in the data, and it also includes complex data types such as shutdown, startup, and stable operation. The ultra-long collection of data has caused great pressure on the data collection equipment and system memory.
According to incomplete statistics, the incidents of misdiagnosis and missed diagnosis caused by the motor online monitoring system due to low data quality account for more than half of the total misjudgment events, which is also one of the main factors that make it difficult to promote the motor online monitoring system

Method used

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  • A Method and System for Eliminating Motor Unsteady Data Based on Electrical Distortion Analysis
  • A Method and System for Eliminating Motor Unsteady Data Based on Electrical Distortion Analysis
  • A Method and System for Eliminating Motor Unsteady Data Based on Electrical Distortion Analysis

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Embodiment 1

[0044] At present, the monitoring of motors mainly relies on monitoring based on various sensor data, such as speed, vibration, temperature, and electrical quantity signals, and various online monitoring systems for motors are composed of these monitoring signals. Among them, because the electrical quantity signal contains the universality of the motor fault characteristics and the signal is easy to collect, it is welcomed by scholars and engineers and technicians, and the motor fault diagnosis technology with the electrical quantity as the main signal has also emerged at the historic moment. The motor fault diagnosis and early warning system based on this kind of technology mainly judges the current running state and fault trend of the motor by regularly collecting electrical quantity signals for a period of time. Make a diagnosis. Many researchers use long-term acquisition of signals to ensure that the collected data contains the required data segments, but this technology h...

Embodiment 2

[0104] refer to Figure 2-5 , is the second embodiment of the present invention, which is different from the first embodiment in that it provides a motor instability data elimination system based on electrical distortion analysis, including:

[0105] The running state capture module receives the stator current information of a certain phase of the motor, and calculates the effective value of not less than one cycle, sets the threshold value of the motor running state, and uses it to capture the running state of the motor, and mark the motor start and stop labels; if the motor is not running If the length of state or running state data is less than the minimum length required for motor analysis, diagnosis and prediction, the current sampling data will be discarded, and the next stage of sampling will be performed immediately until the length of the running state data is met.

[0106] The two-stage linkage filter module uses the current effective value calculated by the running ...

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Abstract

The invention discloses a method and system for eliminating motor instability data based on electrical distortion analysis, including: setting motor operating state threshold data according to the magnitude of electromagnetic interference at the on-site signal acquisition end, and judging the current state of the motor; using limiting filtering and two-order Jump limit filtering algorithm, filter data and extract the characteristics of the motor running state; capture the characteristic points of the motor time, calculate the motor start start, start end, stop start, stop end time, judge the current sampling data stable operation data length and analyze and identify the current time Data, keep high-quality data. The present invention provides high-quality sampling data for motor fault diagnosis and prediction tasks, effectively improving motor fault diagnosis and prediction systems and other motor on-line monitoring systems in practical applications due to low data quality resulting in fault misjudgments and missed judgments, and fault evolution trends are not stable. Accuracy and other issues have improved the application value of this type of system in engineering practice.

Description

technical field [0001] The invention relates to the technical field of motor fault diagnosis and early warning, on-line monitoring and modular application, in particular to a method and system for eliminating unsteady data of motors based on electrical distortion analysis. Background technique [0002] With the continuous improvement of the level of intelligence, various types of motors have been widely used in engineering, and how to monitor them reasonably has become a key topic for expert research. At present, all major industrial fields are building and developing online motor monitoring systems to improve the intelligence and automation of key motor inspection tasks in the factory area. The operating state of the motor is different from that of mechanical equipment. Mechanical equipment is often operated at full power, and the monitoring task is relatively simple and intuitive. However, the motor is generally operated at half load and frequently starts and stops. The co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/34
CPCG01R31/343
Inventor 周欣宇李华新唐丽陈绍勇陈杰张颖鑫
Owner GUIZHOU WUJIANG HYDROPOWER DEV
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