Multi-means and low-cost fan fault monitoring method

A fault monitoring and fault detection technology, applied in the field of mechanical equipment control, can solve the problems of high implementation cost and difficult detection of fan faults, reduce maintenance and operation costs, improve equipment fault management level, and reduce the running time of fan equipment in fault state Effect

Active Publication Date: 2019-02-15
ENVIRONMENTAL SCI RES & DESIGN INST OF ZHEJIANG PROVINCE +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The invention uses sensor technology to quickly determine the operating status of the fan through continuous collection and analysis of fan temperature, current and vibration signals, effectively solving the problem of low-end fan failures that are not easy to be detected and the function of the proprietary detection device in traditional fan applications Problems such as high implementation costs effectively reduce the use and maintenance costs of related application systems, and at the same time improve the stability of application systems

Method used

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  • Multi-means and low-cost fan fault monitoring method
  • Multi-means and low-cost fan fault monitoring method
  • Multi-means and low-cost fan fault monitoring method

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Embodiment 1

[0059] The fault monitoring object described in this embodiment is a 7.5kW blower fan used in a certain sewage treatment plant project, and the specific methods include as follows:

[0060] 1) According to the five common faults of the fan in the application, the fan fault state set is defined as U={F 1 , F 2 , F 3 , F 4 , F 5 , F 6}, where the description of each fault state is shown in Table 1.

[0061] Table 1

[0062]

[0063]

[0064] 2) According to the application requirements of sewage treatment, the minimum identification period T of a fault is defined as 300 seconds, then the detection period T′ of a fault is 150 seconds, the value of Z is 1.96, S is the sampling standard deviation value of 0.5, and θ is the balance The value of the coefficient is 23, and e takes the minimum value of the measurement error among the three sensors of current, temperature and vibration as 2%. According to formula 2, the single sampling period t is 13 seconds.

[0065] (1) A...

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Abstract

The invention discloses a multi-means and low-cost fan fault monitoring method, which includes the following steps: (1) defining a fan fault state set according to the common faults of fans in practical application; (2) optimizing a fault feature set by using a common fan fault feature set template and the existing fault data of a target fan; (3) continuously collecting the instantaneous current I, surface temperature T and vibration L signals of the fan, and calculating the feature values of the current, temperature and vibration signal of the fan at the current time; and (4) matching the calculated feature values of the current, temperature and vibration signal of the fan with the items in the fan fault feature set, and judging that the current fault state of the fan is the fault state represented by the matching item in the fault state set if the calculated feature values of the current, temperature and vibration signal of the fan are consistent with the items in the fan fault feature set. By monitoring and analyzing the current, temperature and vibration signals of fans, timely and accurate monitoring of fan faults is realized. The multi-means and low-cost fan fault monitoringmethod has the characteristics such as low cost, easy integration and low difficulty in use.

Description

technical field [0001] The invention relates to the technical field of mechanical equipment control, in particular to a fan fault monitoring method. Background technique [0002] The motor fan is a machine that relies on the input mechanical energy to increase the gas pressure and discharge the gas. It is a driven fluid machine. Generally speaking, fans include ventilators, blowers, wind generators, etc. Fans are widely used in ventilation, dust removal and cooling of factories, mines, tunnels, cooling towers, vehicles, ships and buildings, ventilation and induction of boilers and industrial furnaces; and aeration in sewage treatment systems; tap water treatment systems backflush cleaning etc. [0003] At present, some wind turbine fault monitoring systems already exist in the market. For example, the Chinese invention patent application document with the publication number CN 103953509A discloses a wind turbine monitoring method, which includes the following steps: the mo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/02G01M13/00
CPCG01D21/02G01M13/00
Inventor 邵卫伟梅荣武刘文龙李欲如孔令为王睿汪海东陈挺
Owner ENVIRONMENTAL SCI RES & DESIGN INST OF ZHEJIANG PROVINCE
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