Fault Detection in a Multistage Gearbox by Demodulation of Motor Current Waveform

Mohanty, A.R.; Kar, Chinmaya

doi:10.1109/tie.2006.878303

Cited by 212 publications

(95 citation statements)

References 17 publications

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“…Not only in motor but also in gear box cases, MCSA can be used to detect the faults. Mohanty and Kar (2006) were able to find out to detect in gear box using modulation of motor current waveform. It is observed from above literature survey that previous researchers have used vibration analysis and MCSA to diagnosis the defects of machineries, motor of the pump, etc.…”

Section: Review On Signature Analysismentioning

confidence: 99%

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

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Due to growth of mechanisation and automation, today's industrial systems are becoming more complex. A small breakdown of any non-redundant machine component affects the operation of the entire system. To increase the availability and reliability, automated health monitoring and self-diagnostic capability (SDC) becoming essential to many industrial machineries like pumps, motors, etc. Condition monitoring does not prevent the failure, but it can predict the possibility of future failure by measuring certain machine parameters. Though there are various condition monitoring techniques, vibration analysis and motor current signature analysis (MCSA) are most suitable for detection of faults and abnormalities in machine systems. This work attempts to develop an SDC framework and diagnose the impeller condition of a centrifugal pump using MCSA. Time and frequency domain analyses are done for different impeller conditions of the pump, such as normal impeller and defective impellers. Significant differences are observed and a fault prediction strategy is recommended. Nitaigour P. Mahalik has expertise in the field of distributed control, FDI and soft computing. With 20 years of teaching experiences, he has published about 100 papers, 5 books, and 12 chapters. He has supervised five PhD and 30 MS theses/projects. He is the editor and committee members of several journals. He was the recipient of NOS and Brain-Korea fellowships and member of ISTE, ATMAE, ASABE, and ISA. Keywords

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Section: Review On Signature Analysismentioning

confidence: 99%

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

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“…In condition monitoring, parameters reflecting the component conditions are identified and their changes are analyzed to detect an emerging failure. In this chapter, the fault identification analysis is studied in the time domain based on the vibration data of an impaired gearbox tested by NREL, which is different from the traditional fault analysis from the frequency domain [46][47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Wind Turbine Gearbox Condition Monitoring Round Robin Study - Vibration Analysis

Sheng¹

2012

112

107

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NOTICEThis report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. Executive SummaryUtility-scale wind turbines have historically experienced premature component failures, which subsequently increase the cost of energy. The majority of these failures are caused by faults in the drivetrain, led by the main gearbox. To understand the possible causes for gearbox failures and recommend practices for improvement, the National Wind Technology Center (NWTC), at the National Renewable Energy Laboratory (NREL), started a project called the Gearbox Reliability Collaborative (GRC). Condition Monitoring (CM) is one research area under the GRC. It is a method to assess a system's health, which enables proactive maintenance planning, reduces downtime and operations and maintenance costs, and, to some extent, increases safety.To understand the dynamic responses of wind turbine gearboxes under different loading conditions, the GRC tested two identical gearboxes. One was tested on the NWTC's 2.5 MW dynamometer and the other was first tested in the dynamometer, and then field tested in a turbine in a nearby wind plant. In the field, the test gearbox experienced two oil loss events that resulted in damage to its internal bearings and gears. Since the damage was not catastrophic, the test gearbox was removed from the field and retested in the NWTC's dynamometer before it was disassembled. During the dynamometer retest, various condition monitoring systems, e.g., vibration and oil debris, collected data along with testing condition information. The vibrationbased condition monitoring system and the test condition data enabled NREL to launch a Wind Turbine Gearbox Condition Monitoring Round Robin project, as described in this report. The main objective of this project is to evaluate different vibration analysis algorithms used in wind turbine CM and determine whether typical practices are effective. With the involvement of both academic researchers and industrial partners, the Round Robin provides cutting edge research results to industry stakeholders.Under this project, the collected vibration and testing condition data, along with the test gearbox configuration information, were shared with partners who signed memoranda of understand...

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“…Gearbox faults can originate from a gearbox shaft, bearing, gear, pinion, or a combination of these, generating characteristic rotor eccentricity components [46]. For this reason, several frequencies related to a faulty gearbox can appear in the current spectrum.…”

Section: Current Signature Analysismentioning

confidence: 99%

“…Nevertheless, the most common approach for diagnosing a faulty gearbox is to calculate the frequency components that each shaft and gear would produce in the presence of a fault [21,22,26,46,48,49], which is given by Equation (4a) for shaft-related faults and Equation (4b) for gear-mesh-related faults:…”

Section: Current Signature Analysismentioning

confidence: 99%

Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train

Artigao

Koukoura

Carroll³

et al. 2018

Energies

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Abstract:The goal of the present paper is to achieve the diagnosis of an in-service 1.5 MW wind turbine equipped with a doubly-fed induction generator through current signature and vibration analyses. Real data from operating machines have rarely been analysed in the scientific literature through current signature analysis supported by vibrations. The wind turbine under study was originally misdiagnosed by the operator, where a healthy component was replaced and the actual failure continued progressing. The chronological evolution of both the electrical current and vibration spectra is presented to conduct an in-depth tracking of the fault. The diagnosis is achieved through spectral analysis of the stator currents, where fault frequency components related to rotor mechanical unbalance are identified. This is confirmed by the vibration analysis, which provides insightful information on the health of the drive train. These results can be implemented in condition monitoring strategies, which is of great interest to optimise operation and maintenance costs of wind farms.

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Fault Detection in a Multistage Gearbox by Demodulation of Motor Current Waveform

Cited by 212 publications

References 17 publications

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Fault detection in a centrifugal pump using vibration and motor current signature analysis

Wind Turbine Gearbox Condition Monitoring Round Robin Study - Vibration Analysis

Current Signature and Vibration Analyses to Diagnose an In-Service Wind Turbine Drive Train

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