Instantaneous power factor signature analysis for efficient fault diagnosis in inverter fed three phased induction motors

Akar, Mehmet; Gerçekçioğlu, Harun Serhat

doi:10.1016/j.ijhydene.2017.02.151

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…An important electric power parameter useful in condition monitoring is the instantaneous power factor (IPF) [ 39 ], theoretically the same on all phases, as the cosine of the phase shift φ A (or cos( φ A )) between instantaneous voltage u A ( t ) and current i A ( t ). The time delay t dp between two successive zero-crossing moments of instantaneous voltage and current (experimentally revealed in Figure 3 by the time delay between VT S and CT S signals) is involved in the definition of the p th sample of IPF (as PF [ t p ]) as follows:

…”

Section: The Numerical Description Of Some Electric Power Parametersmentioning

confidence: 99%

“…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%

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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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…”

Section: The Numerical Description Of Some Electric Power Parametersmentioning

confidence: 99%

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

View full text Add to dashboard Cite

show abstract

“…mask the fault effect [9,10]. Therefore, using stator current analysis causes a difficulty in fault detection, which motivated researchers attempted to use other quantities for fault analysis [11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Broken rotor bar fault diagnostic for DTC Fed induction motor using stator instantaneous complex apparent power envelope signature analysis

Lachtar

Ghoggal

Koussa

et al. 2019

IJPEDS

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The broken rotor bar is an unexpected fault and a common cause of induction motor failures that threaten the structural integrity of electric machines. In this paper, a new approach to a broken rotor bar diagnosis, without slip estimation, based on the envelope of the stator instantaneous complex apparent power (SICAP) is proposed. The envelope is obtained from the SICAP modulation and then transferred to a computer for monitoring the characteristic frequency and its amplitude using the Fast Fourier Transform (FFT). For this purpose, the winding function approach (WFA) is used to simulate the broken rotor bar occurrence in a squirrel cage induction motor (SCIM) fed on direct torque control (DTC). The obtained simulation results confirm the interest and efficiency of the proposed technique. Even when the induction motor is operating at the no-load level condition, the proposed method is also efficient to detect the broken rotor bar fault at low slip.

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“…But, it is quite common and desirable to obtain direct current energy from renewable sources [1,2]. This direct current energy source needs to be transformed for using it more widely in electronic applications [3][4][5][6][7]. Therefore, multi-level inverters are used to obtain a good sine wave for the alternating voltage [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Fault Determination and Analysis of Complex Switching Structure at Multilevel Inverter

2019

Teh. vjesn.

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In energy conversion studies, some situations have been aimed at up to now. According to this, while the direct voltage is converted from some renewable energy sources to the alternating voltage, the shape of the voltage must be close to the sinus. Therefore, the works are being done on inverters with multi-levels. As the level of the inverters increases, the number of switches and control signals on them increases and it becomes harder to find the possible errors. Finding faults of a device with a large number of transistors with control signals is important, very difficult, and time-consuming task. This paper addresses the issue of determining fault conditions for a multi-level inverter with a very complex switching scheme. The results are analyzed and evaluated after the values obtained in the simulation are validated by the experimental study. For different switch fault conditions at the applications, the harmonic distortion of the alternating voltage is measured and made into tables. After that, different fault conditions of the 21-level inverter structure are explained when fault curves are created from the distortion value of the fault signals.

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Instantaneous power factor signature analysis for efficient fault diagnosis in inverter fed three phased induction motors

Cited by 14 publications

References 9 publications

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

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

Broken rotor bar fault diagnostic for DTC Fed induction motor using stator instantaneous complex apparent power envelope signature analysis

Fault Determination and Analysis of Complex Switching Structure at Multilevel Inverter

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