Detection of Mechanical Imbalances of Induction Motors with Instantaneous Power Signature Analysis

Küçüker, Ahmet; Bayrak, Mehmet

doi:10.5370/jeet.2013.8.5.1116

Cited by 16 publications

(6 citation statements)

References 18 publications

(22 reference statements)

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“…. Given a perfectly symmetrical three-phase power supply induction motor, after low-pass filter processing, the phase voltage and current signal of the motor stator are expressed as follows [31]: Substituting (22) and (23) into trigonometric functions cos 2 + sin 2 = 1, finally the equation of the ellipse in Descartes coordinate system is obtained as expressed by…”

Section: Active Power Circle (Apc) and Reactive Power Circle (Rpc)mentioning

confidence: 99%

“…Since the center of the bounding rectangle is the origin, the side length 1 and 2 is twice the maximum amplitudes of voltage and current, respectively, as shown in (30). Then, area of the bounding rectangle is obtained as shown in (31). The three-phase apparent power of the inverter-fed motor is calculated by function = 3 .…”

Section: Functional Relation Between Power and Graphic Charac-mentioning

confidence: 99%

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Online Monitoring Technique of Power Condition for Inverter‐Fed Motor Driven Hydraulic System

Shi

2019

Mathematical Problems in Engineering

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As a new type of global energy-saving transmission mode, frequency conversion hydraulic drive system has been widely used. Since hydraulic systems become more complex and transfer more power, operating accidents often occur unexpectedly. Therefore, online monitoring of the running state of the hydraulic system is significant during its long-term operation. The pressure, flow, and vibration signals obtained by traditional monitoring methods are nonstationary and susceptible to disturbance. In order to solve this problem, a method of monitoring power condition of the motor driven hydraulic system based on input voltage and current of the motor is proposed. The present study uses the amplitude and phase information of the voltage and current signals on the stator side of the AC motor to form a dynamic power circle graph and extracts feature information from the graph to monitor the power state and its dynamic change process of the hydraulic system. Results obtained from experiments conducted under different frequencies and loads indicate that the proposed method can realize the online monitoring successfully and effectively. Furthermore, the method has another advantage of monitoring the dynamic power change process of the hydraulic drive system and the power matching process between the motor and the system load condition in a visualized way.

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Section: Active Power Circle (Apc) and Reactive Power Circle (Rpc)mentioning

confidence: 99%

Section: Functional Relation Between Power and Graphic Charac-mentioning

confidence: 99%

Online Monitoring Technique of Power Condition for Inverter‐Fed Motor Driven Hydraulic System

Shi

2019

Mathematical Problems in Engineering

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“…The few papers on this topic focus mainly on electric motor condition diagnosis based on instantaneous electric power, for stator turn fault detection [ 37 ] and mechanical imbalances of the rotor [ 38 ], or based on power factor [ 39 ] evolution. It seems that, according to the literature, instantaneous electrical power is a better approach than active electric power to the description of free and forced mechanical oscillations, as periodical mechanical loading, in driven machines and systems [ 40 ], to the description of simulated vibrations [ 41 ] and experimentally revealed vibrations [ 42 ] at resonance or to the description of active damping [ 43 ] in electrically actuated mechanical systems.…”

Section: Introductionmentioning

confidence: 99%

On the Behaviour of an AC Induction Motor as Sensor for Condition Monitoring of Driven Rotary Machines

Horodincă

Bumbu

Chitariu

et al. 2023

Sensors

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This paper presents some advances in condition monitoring for rotary machines (particularly for a lathe headstock gearbox) running idle with a constant speed, based on the behaviour of a driving three-phase AC asynchronous induction motor used as a sensor of the mechanical power via the absorbed electrical power. The majority of the variable phenomena involved in this condition monitoring are periodical (machines having rotary parts) and should be mechanically supplied through a variable electrical power absorbed by a motor with periodical components (having frequencies equal to the rotational frequency of the machine parts). The paper proposes some signal processing and analysis methods for the variable part of the absorbed electrical power (or its constituents: active and instantaneous power, instantaneous current, power factor, etc.) in order to achieve a description of these periodical constituents, each one often described as a sum of sinusoidal components with a fundamental and some harmonics. In testing these methods, the paper confirms the hypothesis that the evolution of the electrical power (instantaneous and active) has a predominantly deterministic character. Two main signal analysis methods were used, with good, comparable results: the fast Fourier transform of short and long signal sequences (for the frequency domain) and the curve fitting estimation (in the time domain). The determination of the amplitude, frequency and phase at origin of time for each of these components helps to describe the condition (normal or abnormal) of the machine parts. Several achievements confirm the viability of this study: a characterization of a flat driving belt condition and a beating power phenomenon generated by two rotary shafts inside the gearbox. For comparison purposes, the same signal analysis methods were applied to describe the evolution of the vibration signal and the instantaneous angular speed signal at the gearbox output spindle. Many similarities in behaviour among certain mechanical parts (including their electrical power, vibration and instantaneous angular speed) were highlighted.

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“…Due to the availability of stator voltage and current measurements together with the minimum influences of noise compared to MCSA (Trzynadlowski, A.M., 1999) a new domain was opened combining these components as instantaneous partial and total power (Samaga and Vittal, 2012;Maouche et al, 2014;Kucuker and Bayrak, 2013), active and reactive power (Akagi et al, 1984;Olivier et al, 2009;Drif and Cardoso, 2009;Intesar et al, 2010;Drif and Cardoso, 2012), complex apparent power (Bitoleanu et al, 2007;Fiorucci, 2015), and mechanical power transferred from rotor to stator (Boudebbouz et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Simulation of different power methods for induction generator faults detection and diagnosis

Leksir

Bensaker

2019

IJPEC

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This paper deals with a simulation of different power methods to detect and diagnose induction generator faults. Instantaneous partial and total power, active and reactive power, complex apparent power and transformed power from mechanic to electric nature are revisited, simulated and discussed in this paper for induction generator rotor broken bars and stator short cuts faults detection and diagnosis. Fast Fourier transform (FFT) and PQ transform algorithms are used as comparison tools. Simulation results show that, on one hand, active, reactive and complex apparent power can only be used to detect evolution of rotor faults. On the other hand, partial, total and power transferred from mechanical to electrical nature are able to detect induction generator faults evolution with the advantage of eliminating electrical distortions and influence of low quality of supplying voltage. Furthermore, the implementation of the PQ transformation offers the possibility to isolate load influence from rotor faults and stator ones.

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Detection of Mechanical Imbalances of Induction Motors with Instantaneous Power Signature Analysis

Cited by 16 publications

References 18 publications

Online Monitoring Technique of Power Condition for Inverter‐Fed Motor Driven Hydraulic System

Online Monitoring Technique of Power Condition for Inverter‐Fed Motor Driven Hydraulic System

On the Behaviour of an AC Induction Motor as Sensor for Condition Monitoring of Driven Rotary Machines

Simulation of different power methods for induction generator faults detection and diagnosis

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