This chapter provides fundamental knowledge on motor current signature analysis mcsa in a style suitable for electrical, mechanical, and condition monitoring engineers working in. This analysis system can be used for measuring the characteristics for a perfectly working gearbox and use the data. Electrical current signature analysis for fault detection in large motors by mike rycroft, ee publishers large electric motors form the core of many industries. In this paper, the effects of induction motor rotor faults on the current and voltage of motor are studied through motor current signature analysis.
The technologies include both motor circuit analysis mca and motor current signature analysis mcsa applied to both energized and deenergized electric motor systems. The analysis of collected data can be very straightforward by. Electricians have been troubleshooting electric motor problems with only a megger for too many years. Alltest pro, a division of bjm corp old saybrook, ct 06475 introduction motor current signature analysis mcsa involves the analysis of current and voltage supplied to an electric motor or from a generator. The implementation is first applied to an im driven by the 60 hz mains. The motor square current signature analysis only requires the use of current sensors. Motor diagnostic technologies have become even more prevalent through the 1990s and into the new century. Motor current signature analysis and interpretation howard w penrose, ph. Motor current signature analysis for fault diagnosis and. It can only be ascertained by comparing a motor current signature with a vibration signal acquired from an accelerometer mounted on the same machine.
Melvinaminny electrical and electronic engineering, panimalar engineering college, chennai, india abstract. Motor current signature analysis industry applications. The systems included in this paper are the alltest iv pro 2000 motor circuit analyzer, the alltest pro ol motor current signature. After installing the ni insightcm mcsa toolkit, ni insightcm server allows you to configure ni motor monitoring devices, manage the data that the ni motor monitoring devices acquire and store, manage alarms, and so on. Pdf neural networks for wind turbine fault detection via. An investigation into current and vibration signatures of three phase induction motors rmdan abdussalm ashnibha a thesis submitted in partial fulfilment of the requirements of the manchester metropolitan university for the degree of doctor of philosophy school of engineering, manchester metropolitan university september 2012.
The theory of mcsa when an electric motor drives a mechanical system, it experiences variations in load caused by gears, pulleys, friction, bearings, and other conditions that may change over the life of the motor. The resulting trip coil current signature provides a chronological record of the operating sequence and timings associated with the various breaker components during a trip operation. The motor current signature analysis mcsa is considered the most popular fault detection method now a day because it can easily detect the common machine fault such as turn to turn short ckt. An investigation into current and vibration signatures of.
Stator current signature analysis of healthy induction. This technique, known as motor current signature analysis or mcsa, seeks to apply much of the long experience in vibration signature analysis to the analysis of motor. Current signature analysis for condition monitoring of motors. Although, various techniques used for fault detection mentioned in the literature are vibration monitoring ruqiang and gao, 2006. Current signature analysis for condition monitoring of cage induction motors serves as a reference for professional engineers, head electricians and technicians working with induction motors. Motor circuit analysis mca is often and easily confused with motor current analysis mca, which is an abbreviated version of motor current signature analysis mcsa. Electrical signature analysis demonstration all test pro. Picked current signal is then led to a spectrum analyzer or specialized mcsa instrument. The iris power mdsp3 uses the current signature analysis technology which relies on the concept that faults in the induction motor rotor or driven components result in changes to the rotor magnetic field pattern.
Stator interturn fault, phase fault, harmonic analysis and earth fault etc can be identifying using this induction motor monitoring arrangement. For pwm drives, the presence of stator current harmonics and a variable. Esa energized testing using electrical signature analysis. Motor electrical current signature analysis mcsa is sensing an electrical signal containing current components that are direct byproduct of unique rotating flux components. Fault detection and diagnosis of induction motors using motor. Induction motor bearing fault detection using a sensorless approach a dissertation by lin wang submitted to the o. This method is based on the visualization of the motor current parks vector representation. A series of real experiments is conducted, whereby the motor current signature analysis method is applied to form a database comprising stator current signatures under different motor conditions. Highlights we propose a new method mscsa for induction motor rotor diagnosis. This technique, known as motor current signature analysis or mcsa, seeks to apply much of the long experience in vibration signature analysis to the analysis of motor current in effect using the motor as a sensor akin to an acceleromeier this paper explores some of the history of the technique, presents several examples, and demonstrates. Abstract stator current signature analysis on induction motors is a proven method for diagnosing rotor squirrel cage winding defects and air gap eccentricity problems. Motor current signature analysis for bearing fault. Pdf testing and analysis of induction motor electrical. Mechanical load fault detection in induction motors by stator current analysis 1455 second important quantity is the airgap permeance.
Motor current signature analysis mcsa online motor monitoring. Among these techniques, motor current signature analysis mcsa and vibration analysis are two of the most common. In ideal case motor current should be pure sinusoidal. Predictive maintenance by electrical signature analysis to induction motors 491 interesting and little explored field surfaces, which is the introduction of predictive maintenance techniques based on electrical signature analysis. The basics of motor circuit analysis reliable plant. The detection of broken bars and eccentricity were tested with mscsa. Analysis of motor voltage and current, with calculation of average torque and variation of torque.
Motor current signature analysis motor current signature analysis is the online analysis of current to detect faults in a threephase induction motor drive while it is still operational and in service as shown in figure 1. Condition monitoring or, colloquially, cm is the process of monitoring a parameter of condition in machinery vibration, temperature etc. The use of condition monitoring allows maintenance to be scheduled, or other actions to be taken to prevent. Vibrationbased diagnostics has always been considered reliable and easy to use. Current signature analysis for condition monitoring of motors issn 22771956 v1n316291633 analysis of the threephase induction motor can be simplified using the park transformation. The signature analyzer was a useful tool when boards consisted of logic ics, but with increasing complexity the signature analyzer has fallen out of favour. Motor current signature analysis mcsa to detect cage. As among all the available solutions are intrusive in operation need shutdown period for testing, maintenance of the measuring equipment, bulk initial capital required, very high sensitivity and unreliable source with even small unsuitable environmental factors, slower in. The hybrid model, known as fmmcart, exploits the advantages of both fmm and cart for undertaking data classification and rule extraction problems. Motor current signature analysis has come up as an important tool in the area of fault diagnosis in past two and half decades.
Abstract recently a technique for monitoring and diagnosing mechanical problems, associated with rotating machines driven by electric motors, has been proposed and is now being offered by several commercial suppliers. Pdf induction motor fault diagnosis approach through. View enhanced pdf access article on wiley online library html view download pdf for offline viewing. The purpose is to introduce in a concise manner the. Motor current signature analysis mcsa and parks vector approach fall under current monitoring. Pdf online identification of ac motor misalignment using. Turbines, generators, mills, gearboxes, fans, shafts, motors, compressors, pumps, mixers, driers in fact, almost any type of active machinery. As machines are designed to tighter tolerances, there is a growing need, for the sake of reliability, to monitor their behaviour and performance. Several other techniques are used which are depicted in fig. Motor current signature analysis motor current signature analysis mcsa is a technique used to determine the operating condition of ac induction motors without interrupting production. Due to the modern variable speed operation of wind turbines, fault frequencies are hidden in the non.
Induction motor fault diagnosis approach through current signature analysis. This method is long out dated as several major problems cannot be seen by a megger. Taking the mystery out of mcsa, is a presentation brought to you by alltest pro, a division of bjm corp, a manufacturer and researcher of submersible pumps and motor system diagnostic equipment located in old saybrook, connecticut. Induction motor fault diagnosis by motor current signature. Stator current signature analysis of healthy induction motor. Fanpump manufacturers often need to know the torque value analysis of voltage adds ability to understand how the power quality. Motor current signature analysis as one of the predictive maintenance pdm technologies along the pf curve in relation to potential failure p and functional failure f.
Current signature analysis investigates fault indications in the frequency spectrum of the electrical signal and is thereby able to detect mechanical faults without additional sensors. Motor current signature analysis mcsa has been the most recent addition as a nonintrusive and easy to measure condition monitoring technique. The motor current signature analysis system consists of two units. The main objective of this chapter is to present a procedure to acquire and analyze electrical signals for condition monitoring of electrical machines through motor current signature analysis in order to get the best possible results in an industrial environment. Mcsa techniques can be used in conjunction with vibration and thermal analysis to confirm key machinery diagnostic decisions. The estimation system consists of data acquisition, demodulation, and fft spechum analyses.
Ni insightcm motor current signature analysis toolkit 3. Bearing fault analysis of permanent magnet synchronous. The present paper discusses the fundamentals of motor current signature analysis mcsa plus condition monitoring of the induction motor using mcsa. Motor current signature analysis identifying rotor winding defect uses fast fourier transformation of current spectrum either single phase or three phase many plants have inhouse condition monitoring team for motor health assessment vibration analysis identifying mechanical condition like bearing, installation quality etc. Mechanical load fault detection in induction motors by stator. It is the pervasiveness of tlas that has created this confusion around motor circuit analysis. The appearing of fifth and seventh current time harmonics is due to the 0 100 200 300 400 500 600 700 800 900 10080604020 0 frequency hz amplitude db psh2 psh1 stator current signature analysis of healthy induction motor 148. Taking the mystery out of mcsa, is a presentation brought to you by alltest pro, a division of bjm corp, a manufacturer and researcher of submersible pumps and motor system diagnostic equipment located in old saybrook. Unique magnetic rotating fields are produced due to the faults which induce detectable stator current components indicative of the fault. The concepts surrounding esa have been in commercial use for over three decades, however.
The mcsa is used the current spectrum of the machine for locating. Electrical signature analysis esa, sometimes referred to as motor current signature analysis mcsa or current signature analysis csa, is used to detect various failure modes in a rotating machine by analyzing stator voltage and current signals. Electrical signature analysis esa is an energized test method where voltage and current waveforms are captured while the motor system is running and then, via a fast fourier transform fft, a spectral analysis is done by. Electrical signature analysis esa is an energized test method where voltage and current waveforms are captured while the motor system is running and then, via a fast fourier transform fft, a spectral analysis is done by the provided software. Electrical signature analysis esa has been introduced for some time to investigate the electrical anomalies of electric machines, especially for induction motors. Motor current signature analysis for bearing fault detection. Current signature analysis for condition monitoring of. When a fault is present, the frequency spectrum of the line current becomes different from healthy motor. Motor current signature analysis and interpretation. Motor current signature analysis for gearbox health monitoring. Trip coil signature measurement and analysis techniques for circuit breaker harriezan ahmad.
Industrial fault recognition using distributed current signature analysis abstract immediate detection and diagnosis of existing faults and faulty behaviour of electrical motors using electrical signals is one of the important interests of the power industry. This is to certify that the project entitled experimental investigation of faulty gearbox using motor current signature analysis submitted by neeraj kumar in partial fulfillment of the requirements for the awards of bachelor of technology, nit rourkela deemed university is an authentic work carried out by him under. Among them, some articles cover synchronous motors usually. Watch this video to get a full demonstration on electrical signature analysis.
More recently hints of using such an approach to analyze mechanical anomalies have appeared in the literature. Experiment, signal analysis and classification inaki bravoimaz1, alfredo garciaarribas2, susana ferreiro3, santiago fernandez4 and aitor arnaiz 5 1,3,4,5 intelligent information systems, ik4 tekniker, eibar, 20600, spain inaki. Advanced spectral analysis current signature analysis as industries continue to look for new methods of identifying and predicting equipment failures, manufacturers of predictive maintenance equipment are developing new tools to add to their arsenal of. Motor current signature analysis for gearbox health. Listed below are some of the candidate assets for motor current signature analysis. The online and offline analysis in our case studies use a battery of standard electrical tests including current signature analysis csa and demodulated current spectrum analysis dcsa.
Online identification of ac motor misalignment using current signature analysis and modified kmean clustering technique. Predictive maintenance by electrical signature analysis to. Sensing unit the block diagram for sensing unit is shown below. Bradleys offers motor current signature analysis mcsa, a detection and diagnostic method used to analyze faults in electrical motors. Vibration analysis vibration analysis is a predictive maintenance method which allows early problem detection in rotating machinery, such as. The mcsa uses the current spectrum of the machine for locating characteristic fault frequencies. Costeffective condition monitoring techniques are required to optimise wind turbine maintenance procedures. With this technology, specific frequency current components can be identified as an indication of cage winding defects as well as a. Theoretical expressions where obtained for tested fault types. Unbalance and overvoltage cause increases in the winding temperature and deterioration of the insulation. Early detection of faults occurring in threephase induction motors can appreciably reduce the costs of maintenance, which could otherwise be too much costly to repair.
Trip coil signature measurement and analysis techniques. Condition monitoring of gear box by using motor current. Ymca university of science and technology, faridabad121006 haryana, india. Detection of current consumption using motor current. Condition monitoring of electrical machines abb machsense. The estimation is then extended to pwm inverterfed lm drives. The ni insightcm motor current signature analysis mcsa toolkit is an addon for ni insightcm server. The motor current signature analysis mcsa is considered the most popular fault detection method now a day because it can easily detect the common machine fault such as turn to turn short ckt, cracked broken rotor bars, bearing deterioration etc. Internal faults in three phase induction motors can result in significant. Motor current signature analysis mcsa is based on current monitoring of induction motor therefore it is not very expensive. It has chapters and contains a unique data base of 50 industrial case histories on the application of mcsa to diagnose broken rotor bars or unacceptable levels of airgap eccentricity in cage induction motors with ratings from 127 kw 170 h.
Applying electrical signature analysis in 869 for motor. With this motivation, the present work study has been done specifically only for the detection of a faulty bearings an outer race fault in rotating machinery using motor current signature analysis. A basic mcsa instrumentation system will consist of the following. This technology enables the testing of operating equipment to identify rotor bar and high resistance joint problems. Motor current signature analysis and negative sequence current based stator winding short fault detection in an induction motor oviedo et al 216 during the motor startup, the inter turn insulation suffers from a transient overvoltage. For more information on motor testing and our online ii tool, visit the link above. Motor circuit analysis mca and motor current signature analysis mcsa applied to both energized and deenergized electric motor systems. Applications for motor current signature analysis cbm. Motor square current signature analysis for induction motor. Electrical current signature analysis for fault detection. Vibration analysis condition monitoring india mvs acmei. The new proposed mscsa method provides more information than classical mcsa. In its day, the signature analyzer was a test instrument that provided an easy means of testing logic boards, especially in the field to check their operation and undertake basic fault finding. In the third chapter the rotor brokenbar fault is discussed and then two methods of diagnosis are described.1137 280 1518 82 838 1625 1311 534 504 1647 1293 1641 1079 1039 969 1332 1150 236 115 162 166 1426 149 70 587 97 425 418 328 933 619 1147 814 889 1096 992 230 505 1189 1039 752