CN202075392U - Electromotor comprehensive state monitoring system - Google Patents

Electromotor comprehensive state monitoring system Download PDF

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CN202075392U
CN202075392U CN2011201310100U CN201120131010U CN202075392U CN 202075392 U CN202075392 U CN 202075392U CN 2011201310100 U CN2011201310100 U CN 2011201310100U CN 201120131010 U CN201120131010 U CN 201120131010U CN 202075392 U CN202075392 U CN 202075392U
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signal
sensor
conditioning circuit
motor
monitoring system
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胡爱军
向玲
马万里
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North China Electric Power University
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North China Electric Power University
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Abstract

一种电动机综合状态监测系统,用于及时准确诊断发电机故障。其技术方案是:它由电气信号传感器、振动信号传感器、信号调理电路、数据采集卡和计算机组成,所述电气信号传感器包括三相电流互感器和三相电压互感器,所述振动信号传感器包括安装在被监测电动机上的加速度传感器、位移传感器和转速传感器,各传感器的信号输出端接数据调理电路的不同输入端,所述信号调理电路的输出端接数据采集卡的输入端口,所述数据采集卡通过以太网接口与计算机连接。同传统监测装置相比,本实用新型不仅能够更加准确地诊断发电机的各种故障,而且还大大降低了运行成本。

Figure 201120131010

A comprehensive state monitoring system for electric motors is used for timely and accurate diagnosis of generator faults. Its technical scheme is: it is made up of electrical signal sensor, vibration signal sensor, signal conditioning circuit, data acquisition card and computer, described electrical signal sensor comprises three-phase current transformer and three-phase voltage transformer, and described vibration signal sensor comprises Acceleration sensors, displacement sensors and rotational speed sensors installed on the monitored motor, the signal output terminals of each sensor are connected to different input terminals of the data conditioning circuit, the output terminals of the signal conditioning circuit are connected to the input ports of the data acquisition card, and the data The acquisition card is connected with the computer through the Ethernet interface. Compared with the traditional monitoring device, the utility model can not only diagnose various faults of the generator more accurately, but also greatly reduce the operating cost.

Figure 201120131010

Description

一种电动机综合状态监测系统A comprehensive state monitoring system for electric motors

技术领域 technical field

本实用新型涉及一种用于对电动机的电气故障与机械故障进行在线监测的装置,属监测技术领域。 The utility model relates to a device for on-line monitoring of electrical faults and mechanical faults of a motor, which belongs to the technical field of monitoring.

背景技术 Background technique

电动机的状态监测与故障诊断一般是以其故障信号的监测为基础,采用各种分析方法对故障信号进行分析,并利用特征信号判断电动机的运行状态以及故障类型。 The state monitoring and fault diagnosis of the motor is generally based on the monitoring of its fault signal, using various analysis methods to analyze the fault signal, and using the characteristic signal to judge the operating state and fault type of the motor.

电动机的常见故障主要分为电气故障与机械故障两大类,例如单相接地、过流、匝间短路等属于电气故障,而电动机转子的不平衡、不对中,轴弯曲,轴承故障等则属于机械故障。因此电气信号(三相电流、电压信号)与机械振动信号(振动位移参数、振动速度参数、振动加速度参数等)一直是电动机设备状态监测系统所要监测和分析的两大类信号。目前,这两类信号的监测往往由两套相互独立的监测系统来完成,这样不仅提高了监测系统的成本,而且由于电动机故障往往与其表征信号出现多点对应关系,如电动机电气故障在电气参数变化的同时也引起机械系统的振动,因此只有对两类信号进行综合分析才能准确诊断电动机的故障。但由于传统独立监测系统所采集的两类数据不同步,使得两类分析结果无法对应,造成诊断的不准确。 The common faults of motors are mainly divided into two categories: electrical faults and mechanical faults. For example, single-phase grounding, overcurrent, and inter-turn short circuit are electrical faults, while motor rotor imbalance, misalignment, shaft bending, and bearing faults are Mechanical failure. Therefore, electrical signals (three-phase current, voltage signals) and mechanical vibration signals (vibration displacement parameters, vibration velocity parameters, vibration acceleration parameters, etc.) have always been the two major types of signals to be monitored and analyzed by the motor equipment condition monitoring system. At present, the monitoring of these two types of signals is often completed by two independent monitoring systems, which not only increases the cost of the monitoring system, but also has a multi-point correspondence between the motor fault and its representative signal, such as the electrical fault of the motor in the electrical parameter The change also causes the vibration of the mechanical system, so only a comprehensive analysis of the two types of signals can accurately diagnose the fault of the motor. However, because the two types of data collected by the traditional independent monitoring system are not synchronized, the two types of analysis results cannot correspond, resulting in inaccurate diagnosis.

实用新型内容 Utility model content

本实用新型的目的在于提供一种电动机综合状态监测系统,以准确诊断电动机故障并降低监测设备的运行成本。 The purpose of the utility model is to provide a motor comprehensive state monitoring system to accurately diagnose motor faults and reduce the operating cost of the monitoring equipment.

本实用新型所述问题是以下述技术方案实现的: Problem described in the utility model is realized with following technical scheme:

一种电动机综合状态监测系统,由电气信号传感器、振动信号传感器、信号调理电路、单片机和计算机组成,所述电气信号传感器包括三相电流互感器和三相电压互感器,所述振动信号传感器包括安装在被监测电动机上的加速度传感器、位移传感器和转速传感器,各传感器的信号输出端接数据调理电路的不同输入端,所述信号调理电路的输出端接数据采集卡模拟输入端口,所述数据采集卡通过以太网接口与计算机连接。 A motor comprehensive state monitoring system is composed of an electrical signal sensor, a vibration signal sensor, a signal conditioning circuit, a single-chip microcomputer and a computer, the electrical signal sensor includes a three-phase current transformer and a three-phase voltage transformer, and the vibration signal sensor includes Acceleration sensors, displacement sensors and speed sensors installed on the monitored motor, the signal output terminals of each sensor are connected to different input terminals of the data conditioning circuit, the output terminals of the signal conditioning circuit are connected to the analog input port of the data acquisition card, and the data The acquisition card is connected with the computer through the Ethernet interface.

上述电动机综合状态监测系统,所述信号调理电路由与各电气信号传感器和振动信号传感器相对应的多个结构相同的信号调理单元组成,每个信号调理单元由运算放大器、电阻和电容组成,所述运算放大器的同相输入端经第一电阻接一个电气信号传感器或振动信号传感器的输出端,反相输入端经第二电阻接地并经第三电阻接输出端,输出端接数据采集卡的一路模拟输入端口,所述电容一端接地,一端接运算放大器的同相输入端。 In the motor comprehensive state monitoring system described above, the signal conditioning circuit is composed of a plurality of signal conditioning units corresponding to the electrical signal sensors and vibration signal sensors, and each signal conditioning unit is composed of an operational amplifier, a resistor and a capacitor. The non-inverting input terminal of the operational amplifier is connected to the output terminal of an electrical signal sensor or vibration signal sensor through the first resistor, the inverting input terminal is grounded through the second resistor and connected to the output terminal through the third resistor, and the output terminal is connected to one channel of the data acquisition card An analog input port, one end of the capacitor is grounded, and the other end is connected to the non-inverting input end of the operational amplifier.

上述电动机综合状态监测系统,所述加速度传感器设置四个,发电机的两个轴承上各安装两个,位于同一轴承上的两个加速度传感器相互垂直;所述位移传感器设置三个,均为非接触式涡流位移传感器,其中两个位移传感器相互垂直地安装在电动机转轴附近,另一个位移传感器安装在电动机转轴一端。 In the motor comprehensive state monitoring system described above, four acceleration sensors are provided, two are installed on the two bearings of the generator, and the two acceleration sensors on the same bearing are perpendicular to each other; three displacement sensors are provided, all of which are non- Contact eddy current displacement sensor, in which two displacement sensors are installed vertically near the motor shaft, and the other displacement sensor is installed at one end of the motor shaft.

本实用新型利用电气信号传感器和振动信号传感器同步采集被监测发电机的三相电流、电压信号和机械振动信号,并由单片机将处理后的信号传送给计算机,计算机通过对这些信号进行综合分析,判断发电机的运行状况。同传统监测装置相比,本实用新型不仅能够更加准确地诊断发电机的各种故障,而且还大大降低了运行成本。 The utility model uses the electrical signal sensor and the vibration signal sensor to synchronously collect the three-phase current, voltage signal and mechanical vibration signal of the monitored generator, and transmits the processed signal to the computer by the single chip microcomputer, and the computer comprehensively analyzes these signals, Determine the operating condition of the generator. Compared with the traditional monitoring device, the utility model can not only diagnose various faults of the generator more accurately, but also greatly reduce the operating cost.

下面结合附图对本实用新型作进一步说明。 Below in conjunction with accompanying drawing, the utility model is further described.

附图说明 Description of drawings

图1是本实用新型的电原理框图; Fig. 1 is the electric principle block diagram of the present utility model;

图2是电原理图; Fig. 2 is electrical schematic diagram;

图3是信号调理单元的电原理图; FIG. 3 is an electrical schematic diagram of the signal conditioning unit;

图4是振动信号传感器的安装示意图。 Fig. 4 is a schematic diagram of the installation of the vibration signal sensor.

图中各标号为:U1、数据采集卡;U2、以太网;M、电动机;TL1~TL14、信号调理单元;F、运算放大器;CT1~CT3、电流互感器;PT1~PT3、电压互感器;a1~a4、加速度传感器;V1~V3、位移传感器;n、转速传感器;C、电容;R1~R3、电阻;PC、计算机。 The labels in the figure are: U1, data acquisition card; U2, Ethernet; M, motor; TL1~TL14, signal conditioning unit; F, operational amplifier; CT1~CT3, current transformer; PT1~PT3, voltage transformer; a1~a4, acceleration sensor; V1~V3, displacement sensor; n, rotational speed sensor; C, capacitance; R1~R3, resistance; PC, computer.

具体实施方式 Detailed ways

参看图1~图4,本实用新型以电动机的电气信号和机械振动信号作为监测对象的电动机状态监测与故障诊断系统。其硬件由传感器、信号调理电路、数据采集卡和PC机组成。电气信号共六路,机械振动信号共八路。本系统的实施步骤如下: Referring to Fig. 1 to Fig. 4, the utility model uses the electrical signal and mechanical vibration signal of the motor as the monitoring object of the motor state monitoring and fault diagnosis system. Its hardware consists of sensors, signal conditioning circuits, data acquisition cards and PCs. There are six electrical signals and eight mechanical vibration signals. The implementation steps of this system are as follows:

1)首先将电流互感器CT1~CT3、电压互感器PT1~PT3接入发电机电路,采集发电机的三相电压信号和三相电流信号。 1) First connect the current transformers CT1~CT3 and voltage transformers PT1~PT3 to the generator circuit, and collect the three-phase voltage signals and three-phase current signals of the generator.

2)其次在电动机M的转轴附近安装两路互相垂直的非接触式涡流位移传感器(V1和V2),用于测量电动机转子的径向振动;并在电动机M两侧轴承处各安装两路互相垂直的加速度传感器(a1与a3垂直,a2与a4垂直),用于测量电动机转子的径向振动;在电动机的轴端再安装一路非接触式的涡流位移传感器V3,用于测量电动机转子的轴向振动;在电动机转轴附近安装一路转速传感器n,转速传感器n为光电传感器,通过数据采集卡U1所提供的计数器来记录脉冲信号的个数,从而监测电动机的转速,具体实施时还可以设置两路备用模拟输入通道。振动传感器与电动机M的连接连接方式如图4所示。 2) Next, install two mutually perpendicular non-contact eddy current displacement sensors (V1 and V2) near the rotating shaft of the motor M to measure the radial vibration of the motor rotor; A vertical acceleration sensor (a1 is perpendicular to a3, a2 is perpendicular to a4) is used to measure the radial vibration of the motor rotor; a non-contact eddy current displacement sensor V3 is installed on the shaft end of the motor to measure the shaft of the motor rotor vibration; install a speed sensor n near the motor shaft, the speed sensor n is a photoelectric sensor, and record the number of pulse signals through the counter provided by the data acquisition card U1, so as to monitor the speed of the motor. A spare analog input channel. The connection between the vibration sensor and the motor M is shown in Figure 4.

3)将6路电气信号和8路振动传感器拾取的14路信号分别接入信号调理电路的14个信号调理单元(TL1~TL14)的输入端,由信号调理单元对信号进行预处理。 3) Connect 6 electrical signals and 14 signals picked up by 8 vibration sensors to the input terminals of 14 signal conditioning units (TL1~TL14) of the signal conditioning circuit, and the signal conditioning unit preprocesses the signals.

4)将调理后的信号接入数据采集卡U1,数据采集卡U1通过以太网接口与上位机通信,开始采集数据并进行监测。 4) Connect the conditioned signal to the data acquisition card U1, and the data acquisition card U1 communicates with the host computer through the Ethernet interface to start collecting data and monitoring.

本系统工作原理是:首先将PT、CT传来的电气信号和由振动传感器拾取的机械振动信号送入该监测系统的信号调理电路中,由信号调理电路将上述信号调理成适应数据采集卡U1量程的信号,除此之外信号调理电路还具有简单的滤波功能。然后将调理好的信号送入单片机U1中,由数据采集卡U1完成对模拟信号的AD转换,将模拟信号转换成数字信号,并通过通讯芯片完成和上位机的数据通信,数据采集卡U1的参数(采样频率、数据长度等)由安装在上位机上的软件设定。最后通过安装在上位机中的分析软件对接收的采集数据进行实时显示、存储、分析等,具体包括计算并监测振动信号的峰峰值、有效值,实时显示电气信号及机械振动信号,对采集的历史数据进行查询、趋势分析、故障数据波形显示、频谱分析、相关分析等。同时利用该分析软件设定报警值,当某一监测数据超过该报警值时,计算机进行报警。 The working principle of this system is: first, the electrical signals from PT and CT and the mechanical vibration signals picked up by the vibration sensor are sent to the signal conditioning circuit of the monitoring system, and the signal conditioning circuit adjusts the above signals to adapt to the data acquisition card U1 In addition, the signal conditioning circuit also has a simple filtering function. Then send the conditioned signal to the single-chip microcomputer U1, and the data acquisition card U1 completes the AD conversion of the analog signal, converts the analog signal into a digital signal, and completes the data communication with the upper computer through the communication chip, and the data acquisition card U1 Parameters (sampling frequency, data length, etc.) are set by software installed on the host computer. Finally, the analysis software installed in the host computer performs real-time display, storage, and analysis of the received collected data, including calculation and monitoring of the peak-to-peak value and effective value of the vibration signal, and real-time display of electrical and mechanical vibration signals. Historical data query, trend analysis, fault data waveform display, spectrum analysis, correlation analysis, etc. At the same time, the analysis software is used to set the alarm value. When a certain monitoring data exceeds the alarm value, the computer will alarm.

数据采集卡可采用UA505网口数据采集卡(北京优采测控技术有限公司生产)。 The data acquisition card can use UA505 network port data acquisition card (produced by Beijing Youcai Measurement and Control Technology Co., Ltd.).

Claims (3)

1. general motor condition monitoring system, it is characterized in that, it is by electrical sensor signal, vibration signal sensor, signal conditioning circuit, data collecting card (U1) and computing machine (PC) are formed, described electrical sensor signal comprises threephase current transformer and threephase potential transformer, described vibration signal sensor comprises the acceleration transducer that is installed on the monitored motor, displacement transducer and speed probe (n), the signal output part of each sensor connects the different input ends of data conditioning circuit, the input port of the output termination data collecting card (U1) of described signal conditioning circuit, the TXD0 of described data collecting card (U1) is connected with computing machine (PC) through Ethernet interface with the RXD0 port.
2. according to the described general motor condition monitoring system of claim 1, it is characterized in that, described signal conditioning circuit is made up of the signal condition unit identical with the corresponding a plurality of structures of vibration signal sensor with each electrical sensor signal, each signal condition unit is by operational amplifier (F), resistance and electric capacity (C) are formed, the in-phase input end of described operational amplifier (F) connects the output terminal of an electrical sensor signal or vibration signal sensor through first resistance (R1), inverting input connects output terminal through second resistance (R2) ground connection and through the 3rd resistance (R3), an input port of output termination data collecting card (U1), described electric capacity (C) end ground connection, the in-phase input end of a termination operational amplifier (F).
3. according to claim 1 or 2 described general motor condition monitoring systems, it is characterized in that described acceleration transducer is provided with four, respectively install two on two bearings of generator (M), two acceleration transducers that are positioned on the same bearing are vertical mutually; Described displacement transducer is provided with three, is the non-contact turbulent flow displacement transducer, and wherein two displacement transducers are installed near motor (M) rotating shaft mutual vertically, and another displacement transducer is installed in motor (M) rotating shaft one end.
CN2011201310100U 2011-04-28 2011-04-28 Electromotor comprehensive state monitoring system Expired - Fee Related CN202075392U (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103048619A (en) * 2012-12-16 2013-04-17 华南理工大学 On-line extracting device and extracting method for fault characteristics of wind generating set
CN103852723A (en) * 2014-03-28 2014-06-11 西安热工研究院有限公司 Wind driven generator state monitoring device and method
CN106769041A (en) * 2016-12-23 2017-05-31 安徽大学 Permanent magnet synchronous motor bearing online fault diagnosis device and method under variable rotating speed working condition
CN107219300A (en) * 2017-05-23 2017-09-29 徐工集团工程机械股份有限公司 A kind of compactness detection on locomotive system based on the degree of correlation
CN107340052A (en) * 2016-08-31 2017-11-10 北车船舶与海洋工程发展有限公司 Marine Propulsion Motor on-line vibration monitoring system
CN108073115A (en) * 2018-02-26 2018-05-25 广东翔龙航空技术有限公司 Unmanned aerial vehicle monitoring device and method based on cloud computing
CN113138337A (en) * 2021-04-25 2021-07-20 西安交通大学 Three-phase motor fault diagnosis method based on state division and frequency band synchronous correction

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103048619A (en) * 2012-12-16 2013-04-17 华南理工大学 On-line extracting device and extracting method for fault characteristics of wind generating set
CN103852723A (en) * 2014-03-28 2014-06-11 西安热工研究院有限公司 Wind driven generator state monitoring device and method
CN107340052A (en) * 2016-08-31 2017-11-10 北车船舶与海洋工程发展有限公司 Marine Propulsion Motor on-line vibration monitoring system
CN106769041A (en) * 2016-12-23 2017-05-31 安徽大学 Permanent magnet synchronous motor bearing online fault diagnosis device and method under variable rotating speed working condition
CN106769041B (en) * 2016-12-23 2019-02-15 安徽大学 Permanent magnet synchronous motor bearing online fault diagnosis device and method under variable rotating speed working condition
CN107219300A (en) * 2017-05-23 2017-09-29 徐工集团工程机械股份有限公司 A kind of compactness detection on locomotive system based on the degree of correlation
CN107219300B (en) * 2017-05-23 2019-09-03 徐工集团工程机械股份有限公司 A kind of compactness detection on locomotive system based on the degree of correlation
CN108073115A (en) * 2018-02-26 2018-05-25 广东翔龙航空技术有限公司 Unmanned aerial vehicle monitoring device and method based on cloud computing
CN113138337A (en) * 2021-04-25 2021-07-20 西安交通大学 Three-phase motor fault diagnosis method based on state division and frequency band synchronous correction

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Inventor after: Hu Aijun

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