3-phase induction motor parameter …€¦ · 3-phase induction motor parameter monitoring and...

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International Journal of Electrical Engineering & Technology (IJEET) Volume 7, Issue 6, Nov–Dec, 2016, pp.81–91, Article ID: IJEET_07_06_008

Available online at

http://www.iaeme.com/IJEET/issues.asp?JType=IJEET&VType=7&IType=6

ISSN Print: 0976-6545 and ISSN Online: 0976-6553

Journal Impact Factor (2016): 8.1891 (Calculated by GISI) www.jifactor.com

© IAEME Publication

3-PHASE INDUCTION MOTOR PARAMETER

MONITORING AND ANALYSIS USING LABVIEW

Khichada Bhavin A

Bachelor of Engineering, Electrical Engineering, A.D. Patel Institute of Technology, Gujarat, India

K.J. Chudashma

Associate Professor, Electrical Engineering, A.D. Patel Institute of Technology, Gujarat, India

Vyas Darshan M


Shiyal Jignesh D


ABSTRACT

The objective of this paper is to design computer based reliable parameter monitoring and

power quality analysis system of induction motor. In this paper monitoring of the current

waveform, voltage waveform, harmonic distortion, amplitude and level analysis, FFT power

spectrum and spectral analysis has been done using LabVIEW and NI 6008 DAQ card. The voltage

and current are measured by current transformer and potential transformer for various loads, its

output is interfaced with computer by NI 6008 DAQ card and displayed using LabVIEW software.

The hardware implementation includes a setting up of a test system which includes current

transformers, step down voltage transformers, DAQ card and 3-phase squirrel cage induction

motor with variable supply voltage by 3-phase variable auto transformer.

Key word: Data Acquisition, Parameter Monitoring, FFT Power Spectrum, Amplitude and Level

Measurement and Harmonic Distortion.

Cite this Article: Khichada Bhavin A, K.J. Chudashma, Vyas Darshan M and Shiyal Jignesh D, 3-

Phase Induction Motor Parameter Monitoring and Analysis Using Labview. International Journal

of Electrical Engineering & Technology, 7(6), 2016, pp. 81–91.

http://www.iaeme.com/IJEET/issues.asp?JType=IJEET&VType=7&IType=6

1. INTRODUCTION

Induction motor is mainly used for industrial application. In some times, the induction motor will

eventually fail because the installation failure, poor environment, locked rotor etc. The condition

monitoring techniques comprising of fault diagnosis are of great concern in industry and are gaining

increasing attention. The numerous internal fault occurs in induction motor like stator inter-turn, rotor bar,

earth fault etc. If the motor operating at high or low voltage as per requirement, its reduce efficiency and

Khichada Bhavin A, K.J. Chudashma, Vyas Darshan M and Shiyal Jignesh D


cause parameter failure [1]. This paper prove basis for induction motor monitoring which can be further

extended to for fault analysis. Many methods are used for monitoring of induction motor like vibration

monitoring, thermal monitoring, chemical monitoring but they require additional sensors and component,

where in this the induction motor parameter monitoring using only current transformer and voltage

transformer therefore the additional component cost is reduced [2]. During the running condition of

induction motor a variety faults occur. If some of these fault is not found at the instantly therefore it’s

created pernicious failure.

Some measurements require that we preserve complete information about the signal, frequency and

phase. However, another larger group of measurement can be made without knowing the phase

relationship among the sinusoidal component. This type of signal called spectrum analysis. In other words,

when combined properly produce time domain signal under examination [3]. About broken bars and rings,

eccentricities and misalignment information provided by stator current consequently the spectrum of

induction motor can reflect the faults [4].By sampling the stator current and then analyzing its spectrum

incipient fault can be detected. Whenever interturn fault occur in stator winding, the short circuit current

flow through the faulty path. This set-up the negative MMF consequently net MMF reduced. Therefore,

the waveform of the air gap flux is changed by the distortion of net MMF consequently harmonic

frequency is induced. These appear in spectrum indicate the short circuit fault is present [5].

A harmonic is a signal or wave whose frequency is an integral (whole-number) multiple of the

frequency of some reference signal or wave. The term can also refer to the ratio of the frequency of such a

signal or wave to the frequency of the reference signal or wave [6]. The nonlinear device is major source of

harmonics to produce for example arc furnace, transformer etc. Due to this various effect occurs on the

equipment [7]. Such as an electrical loss like I2R loss, iron loss (eddy current loss & hysteresis loss) and

stray load loss are depended on the magnitude & order of harmonics. Iron loss is directly proportional to

the square of air gap voltage. The harmonic currents are directly depended on the magnitude of voltage

harmonics [8]. The higher order harmonics creates excessive heating in the motor. Due to that monitoring

of the harmonic monitoring is necessary to prevent the motor against the fault.

In this paper monitoring the parameter of induction motor such as voltage and current has been done

and analysis of signals using LABVIEW is done. LabVIEW is multi task software so that monitoring of all

the parameters are done with it easily by graphical programming. In experimental setup three current

transformers, step-down voltage transformer as potential transformers and 3-phase variable

autotransformer are used along with 0.75HP three phase induction motor with no load. With these testing

set up monitoring of the current, voltage, FFT power spectrum, harmonic distortion, amplitude level

measurement (high state level, low state level) and spectral analysis has been done. Stator interturn fault,

phase fault, harmonic analysis and earth fault etc can be identifying using this induction motor monitoring

arrangement.

3-Phase Induction Motor Parameter Monitoring and Analysis Using Labview


Figure 1 Block Diagram of Test-Up System

2. METHODOLOGY

Methodology contains whole process for monitoring the parameter of induction motor at no load. This

system used NI 6008 DAQ card for data acquisition. The data acquisition system comprises the acquiring

signal from the measurement source and digitizing the signal for analysis and present in PC by using

LabVIEW software. The FFT tool is important part in LabVIEW for various filed i.e. spectral analysis,

modeling, applied machine and digitalizing [9]. In this testing-up system the FFT tool is using for FFT

power spectrum analysis (with real and imaginary parts of the signal), spectral analysis, harmonic

distortion and amplitude level.

2.1. Data Acquisition

Real time data monitoring is done with the data acquisition system. This make system more reliable,

reduce complicated connection and fat operation in consumer application. They have multi task job.

Therefore, alone one card interacts with induction motor and collects the various data in different condition

of motor. In this study used the NI 6008 DAQ card. They have 8 analog input channels, digital signal at the

I/O the connector, +2.5 VDC and +5 VDC reference at analog input channel [10]. The component of data

acquisition system, sensor converted physical signal to electrical signal, signal conditioning circuitry,

sensor signal converted into form of digital value and ADC convert analog signal to digital value [11].

3. EXPERIMENTAL SETUP

The experimental setup includes a 3-phase squirrel cage induction motor with 3-phase variable

autotransformer. For measuring current and voltage, current transformer and step-down voltage

transformer are used. The experimental set-up system block diagram shown in figure 1. Experimental set-

up system shown in fig.2. The three current transformers connected in series and three step-down voltage

transformers connected in parallel with 3-phase induction motor. Autotransformer is used to varying the

supply voltage at the different level.

A NI 6008 DAQ is used for acquire the signal from current transformer, voltage transformer and these

signals send to the PC for analysis. This representation shown by LabVIEW. In LabVIEW software

building VI by graphical programming i.e. arranges different blocks as per requirement. Due to low current



rating of DAQ card, waveforms and readings are note down at 130V using variable 3 phase

autotransformer.

Figure 2 Image of Experimental Set-Up

4. BLOCK DIAGRAMS OF VI

Fig .3 VI of FFT Spectrum, Spectral, Harmonic Distortion, Amplitude and level Measurement

Figure 4 VI of Voltage Waveform Analysis



Figure 5 Current Waveform Anaylisis



5. SIMULATION RESULTS

5.1. Voltage FFT Spectrum, Spectral, Harmonic Distortion, Amplitude and level

Measurement

Fig.6.1 Voltage FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement for R-Phase

Fig.6.2 Voltage FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement for Y-Phase



Fig.6.3 Voltage FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement for B-Phase



5.2. Current FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement

Fig.7.1 FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement for R-Phase

Fig.7.2 FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement for Y-Phase



Fig.7.3 FFT Spectrum, Harmonic Distortion, Amplitude and level Measurement for B-Phase

Figure 8 Voltage Waveform for 3-Phase



Figure 9 Current waveform for 3-Phase

The fig 6 to 7 showing voltage and current, FFT power spectrum, spectral analysis (shown in result as a

power spectrum 2 and numeric value), harmonic distortion (in results shown as a values of THD,

component level, detected fundamental Frequency), FFT power spectrum (real-img) it shows the values of

real and imaginary component, amplitude and level mesurement (it contain high state level, low state level

and amplitude). Fig 8showing 3-phase voltage wavewform and fig 9 showing 3-phase current waveform

with condition of motor. These results are identifying, when the motor is in healthy and running condition.

When abnormality occur such as stator or rotor cage fault i.e. turn to turn fault in stator winding, shaft

missalignment, broken teeth in load gear box etc. These effected on speed and torque of the induction

motor. It is detected by the FFT power spectrum anaylisis or two sided spectrum analysis (real and

imagenary parts) to khow the magnitude and phase.

Current and voltage waveforms that indicate the normal condition of motor. In certain condition of the

motor is over voltage or under voltage, its obtained by the monitring of curent and voltage waveforms with

its status i.e. voltage and current are normal or over or under, as per rated capacity of induction motor.

Harmonic distortion indicating the component level of harmonics, higest harmonic and total harmonic

distortion to know the which harmonic is present and its effects on induction motor. The parameter

monitring is essentional for long life and prevent the prenicious failure against the fault in induction motor.

6. CONCLUSION

Parameter condition monitoring and its analysis is important task in industries. This paper presents a

parameter monitoring of 3 phase induction motor in healthy condition. Practical arrangement for induction

motor parameter monitoring is shown. Using the set up FFT power spectrum, harmonic distortion,

amplitude and level measurement, voltage and current waveforms has been achieved. It proposes FFT base

power Spectrum analysis. It also represents the real and imaginary parts. With these values, we can do

stator current fault analysis and fault diagnosis. This paper work identifies the voltage spectrum, parameter

condition and can be useful for internal fault analysis for more accurate result. The condition is monitoring

necessary to prevent the motor against pernicious failure.



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3-phase induction motor parameter …€¦ · 3-phase induction motor parameter monitoring and...

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