Current signature analysis to detect induction motor faults

Thomson, William T.; Fenger, M.

doi:10.1109/2943.930988

Cited by 961 publications

(458 citation statements)

References 10 publications

Supporting

Mentioning

438

Contrasting

Unclassified

Order By: Relevance

“…From Table 2, it is observed that when the severity of the defect increases, height of SBs increases and the difference between the dB values of VPF and SBs decreases. Like as the severity of the rotor bar fault increases, the height of SB's peak increases (Thomson and Fenger, 2001). As vane/vanes of impeller of pump has/have been broken, the momentary torque exerted between two consecutive normal vanes (in between whose, vane has been broken) rises.…”

Section: Frequency Domain Analysis Of Vibration Signalsmentioning

confidence: 92%

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

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

View full text Add to dashboard Cite

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

show abstract

Section: Frequency Domain Analysis Of Vibration Signalsmentioning

confidence: 92%

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

Mohanty

Pradhan

Mahalik

et al. 2012

IJAAC

View full text Add to dashboard Cite

show abstract

“…According to [33], the components of this type of failure in the stator current of low-voltage motors, induced by the rotational flux wave, are given by (28). An example of the application can be seen in Figure 10.…”

Section: Detection Of Stator Shortcuts Through Mcsamentioning

confidence: 99%

“…According to Drozdowski and Duda [36], the magnetic motor saturation will be reflected in the zero sequence voltage (VN) signal, as well as the machine asymmetries, where the VN spectrum in the stator can be used to detect rotor faults, which would be given by (32) and (33).…”

Section: Stator Asymmetrymentioning

confidence: 99%

State of the Art and Trends in the Monitoring, Detection and Diagnosis of Failures in Electric Induction Motors

2017

View full text Add to dashboard Cite

Despite the complex mathematical models and physical phenomena on which it is based, the simplicity of its construction, its affordability, the versatility of its applications and the relative ease of its control have made the electric induction motor an essential element in a considerable number of processes at the industrial and domestic levels, in which it converts electrical energy into mechanical energy. The importance of this type of machine for the continuity of operation, mainly in industry, is such that, in addition to being an important part of the study programs of careers related to this branch of electrical engineering, a large number of investigations into monitoring, detecting and quickly diagnosing its incipient faults due to a variety of factors have been conducted. This bibliographic research aims to analyze the conceptual aspects of the first discoveries that served as the basis for the invention of the induction motor, ranging from the development of the Fourier series, the Fourier transform mathematical formula in its different forms and the measurement, treatment and analysis of signals to techniques based on artificial intelligence and soft computing. This research also includes topics of interest such as fault types and their classification according to the engine, software and hardware parts used and modern approaches or maintenance strategies.

show abstract

“…This periodicity, t o , is related to the speed by which the bearing balls are passing the pit. This period determines the fundamental period of the faulty force-functions and is as well the frequency that can be found in the stator current's spectrum (modulated on the fundamental current component, [2]- [4], [10]). As the outer race pit can be located at every angular position (defined by α pit ), the 2DOF-system gets always excited in the two directions x and y (except for α pit = − π 2 ; 0; π Therefore, the faulty force-function is subdivided in a vertical and horizontal force-component, respectively f y (t) and f x (t).…”

Section: A Outer Race Bearing Faultmentioning

confidence: 99%

Single point outer race bearing fault severity estimation using stator current measurements

Corne

Vervisch

Derammelaere

et al. 2017

2017 IEEE International Electric Machines and Drives Conference (IEMDC)

View full text Add to dashboard Cite

Abstract-Although numerous valuable research has been conducted by many authors, the relation between evolving mechanical faults and their fault-indicating reflections in the electrical signals of rotating electric machinery still requires extensive attention. This lack of information implies serious obstructions in the evolution of applying motor current signature analysis as a complete and reliable condition monitoring technology. However, as previous research of the authors resulted in the construction of a unique test-bench where specific mechanical faults can be introduced into an 11kW induction machine with high reproducibility and accuracy, the relations between evolving mechanical faults and their reflections in the stator current can be investigated and quantified experimentally. Using this mechanical fault-emulator, experiments where conducted where the severity of a single point outer race bearing fault and its corresponding signature in the stator current's spectral fault-components are accurately analyzed. These evolving faulty components are trended and characterized, resulting in the desired quantification of the mechanical fault-severity. Based on these results, it is possible to inversely estimate the severity of single point outer race bearing problems by acquiring nothing more then the stator current timefunctions.

show abstract

Current signature analysis to detect induction motor faults

Cited by 961 publications

References 10 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

State of the Art and Trends in the Monitoring, Detection and Diagnosis of Failures in Electric Induction Motors

Single point outer race bearing fault severity estimation using stator current measurements

Contact Info

Product

Resources

About