RU147268U1 - REMOTE DIAGNOSTICS DEVICE FOR ASYNCHRONOUS ELECTRIC MOTORS - Google Patents

Abstract

The utility model relates to the field of diagnostics of induction motors based on the analysis of the parameters of the harmonic components of currents and voltages generated by the electric motor and the insulation temperature of the stator winding and bearings. The objective of the utility model is to create a device for remote diagnostics of induction motors with the following technical result: expanding the functionality of devices for remote diagnostics by simultaneously detecting electrical and mechanical damage to an induction motor by analyzing the harmonic composition of currents and voltage, as well as the temperature of insulation and stator windings : a device for remote diagnostics of induction motors, containing b ok current sensors, a voltage sensor block, a stator winding insulation temperature sensor block and a bearing temperature sensor block, while the current and voltage sensor outputs are connected through analog digital converter blocks to a direct Fourier transform unit, a neural network block is connected to the output of the direct Fourier transform block, and the outputs of the temperature sensors of the insulation of the stator winding of the electric motor and the temperature sensors of the bearings are connected through blocks of analog digital converters to the block of neurons th network, the neural network unit output is connected to the communication unit interacting with the information display unit and storage unit. The neural network unit processes the measured values of the input parameters and gives the result - the values of the indicators of operating modes and damage to the elements of the asynchronous electric motor.

Description

The utility model relates to the field of diagnostics of asynchronous electric motors based on analysis of the insulation temperature of the stator winding and bearings, as well as the parameters of the harmonic components of the currents and voltages generated by the electric motor.

A device for diagnosing AC electric motors and associated mechanical equipment (patent RU No. 90199 IPC G01M 7/02 (2006.01), G01M 15/00 (2006.01), publ. 12/27/2009), consisting of vibration sensors, the readings of which are recorded through analog-to-digital converter for read-only memory of a personal computer. In a personal computer, a spectral analysis of the received signal and a comparison of the amplitudes at characteristic frequencies are performed.

The disadvantages of this technical solution are the complexity of the necessary measurements, the limited types of diagnosed faults, the limited use in rooms with explosive atmospheres.

A device for the diagnosis of asynchronous electric motors (patent RU No. 2484490 IPC G01R 31/34 (2006.01), published on 06/10/2013), consisting of power supplies, measuring devices, a memory unit of the nominal values of the engine, on-board storage device, display, microprocessor for determining actual start-up duration, microprocessor for assessing overheating and insulation status. Microprocessors are installed relative to an asynchronous electric motor in parallel, and in series with each other. Sensors of current, insulation temperature, and ambient temperature are connected to microprocessors through analog-to-digital converters. One of the microprocessors, when receiving signals from temperature sensors, begins to calculate the initial temperature rise of the insulation windings above the nominal and the calculation of the temperature rise of the windings above the nominal. The second microprocessor, receiving a signal from the current sensor, starts the countdown until the value of the starting current decreases to the limits of 0.9-1.1 of the nominal current. The technical result consists in the possibility of diagnosing the insulation of the active part of an asynchronous electric motor during operation.

The disadvantages of this technical solution is the complexity of the necessary measurements, the limited types of diagnosed faults.

The closest in technical essence and the achieved result is a device for diagnosing AC electric motors (patent RU 121086, G01R 31/34, publ. 10.10.2012 (prototype)), three phase current sensors are connected to the phases of the asynchronous motor, the outputs of the sensors are connected to the calculation unit of the resulting current module, to which the wavelet transform unit, the integral evaluation unit and the comparison unit are connected, which is connected either to the display or the computer, while the threshold value unit is connected to the compared unit and I.

The disadvantage of this technical solution is the limited types of diagnosed faults, as well as the lack of remote diagnostics.

The objective of the utility model is to create a device for remote diagnostics of induction motors with the following technical result: expanding the functionality of devices for remote diagnostics by simultaneously detecting electrical and mechanical damage to an induction motor by analyzing the harmonic composition of currents and voltage, as well as the temperature of insulation and stator windings.

This problem is solved in that the device for remote diagnostics of asynchronous electric motors contains a block of current sensors, a block of voltage sensors, a block of temperature sensors for insulation of the stator winding and a block of temperature sensors for bearings, while the outputs of the current and voltage sensors are connected through blocks of analog digital converters to the direct Fourier transform block , a neural network block is connected to the output of the direct Fourier transform unit, and the outputs of the temperature sensors of the insulation of the stator winding of the electric motor I and bearing temperature sensors are connected via analog-digital converters blocks to block the neural network, the neural network unit output is connected to the communication unit interacting with the information display unit and storage unit.

The figure shows a structural diagram of a device.

The device comprises a block 1 current sensors; block 2 voltage sensors; block 3 sensors temperature insulation of the stator winding; block 4 bearings temperature sensors; block 5 analog-to-digital converters; block 6 direct Fourier transform; block 7 of the neural network; communication unit 8; information storage unit 9; block 10 display information.

The device operates as follows.

Block 5 of analog-to-digital converters converts incoming information from block 1 of current sensors, block 2 voltage, block 3 of temperature sensors for insulation of the stator of the electric motor stator and block 4 of temperature sensors for bearings from analog to digital.

Block 6 direct Fourier transform decomposes the signals from the blocks 5 of the analog-to-digital converters on the harmonic components of currents and voltages.

Information from the outputs of blocks 6 and 5 is fed to the input of block 7, which contains a specially trained neural network capable of assessing the technical condition. The inputs of the neural network are the effective values of the coefficients of the harmonic components of the current K _In and voltage K _Un , the angle between these values of φ _{ui (n)} , as well as the insulation temperature of the stator winding and the bearings of the induction motor.

The set of normalized values of the diagnostic parameters is analyzed by an artificial neural network in the neural network unit, which gives the result - the code of the operating mode and damage of the elements of the asynchronous electric motor D _m - characterizing the state of the asynchronous electric motor

where w are the weights of the neural network for the corresponding diagnostic parameters;

m = 14 - the number of outputs of the neural network;

p is the number of bearings of the unit.

Information from the output of block 7 is fed to the input of block 8, which is capable of transmitting diagnostic information via wireless communication channels (GSM communication networks or Wi-Fi) to block 9 and block 10.

Block 9 is used to display diagnostic information about the status of the induction motor. Block 10 is used to record and store data on the technical condition of the induction motor.

Claims (1)

A device for remote diagnostics of asynchronous electric motors, comprising a block of current sensors, a block of voltage sensors, a block of temperature sensors for insulation of the stator winding and a block of temperature sensors for bearings, while the outputs of the sensors for current and voltage are connected through blocks of analog-to-digital converters to the direct Fourier transform block, to the block output direct Fourier transform is connected to the neural network unit, and the outputs of the temperature sensors of the insulation of the stator winding of the electric motor and temperature sensors of the bearing They are connected through analog-to-digital converters blocks to a neural network unit, the output of a neural network unit is connected to a communication unit interacting with an information display unit and an information storage unit.

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