Vibrations for fault detection in electric machines

Ugwiri, Moise Avoci; Mpia, Innocent; Lay-Ekuakille, A.

doi:10.1109/mim.2020.8979527

Cited by 16 publications

(3 citation statements)

References 13 publications

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“…It is essential to pay special attention to the quality of repair work and the use of high-quality components during the restoration of electric motors, as suggested by Arhun et al 8 Previously conducted research showed that vibration parameters are the main indicator of machines' technical level, technological and functional reliability. The given functional and technical reliability can be optimal under certain permissible vibration characteristics (Sadeghi, Ugwiri et al 9,10 ). Reducing the level of vibration of electric motors allows you to increase their reliability, durability, and resource, reduce the harmful impact on people and the environment, as well as reduce the costs of maintenance of electric vehicles in general.…”

Section: Introductionmentioning

confidence: 99%

Requirements for vibroacoustic methods of the quality assessment of vehicles traction electric motors

Migal,

Arhun,

Hnatov

et al. 2024

Noise & Vibration Worldwide

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The progression and refinement of traction electric motors play a pivotal role in the enhancement of vehicles. With constant advancements in power efficiency, diagnostic tools, and reliability, electric traction motors are becoming more economical in terms of operational costs. This article underscores the significance of methods used in assessing the technical proficiency of traction electric motors, coupled with their testing techniques. The vibration characteristics of these motors serve as a prime criterion in assessing their quality throughout their lifecycle – from design and manufacturing to operation. A groundbreaking proposition made in this article is the evaluation of electric traction motors’ health based on their vibration acceleration within an expansive frequency range of 5 Hz to 10 kHz. This contrasts the conventional approach which focuses on vibration speed in a restricted frequency spectrum up to 1000 Hz, as outlined by current standards. Such permissible vibration classes are essential in ensuring the high-quality design, technical finesse, and dependability of traction electric motors. Exceeding these vibration thresholds can result in rapid wear and tear, diminishing the motor’s reliability and lifespan. Hence, motors that surpass these permissible vibrations are not advised for vehicular use. Additionally, the article sheds light on requisite equipment controls for accurately gauging vibrations and noise levels in electric motors. Delving deeper into the nuances, the methods for mounting vibration transducers and electric motors on testing platforms are elucidated. These methods are pivotal in obliterating any hindrances that could impede the precise measurement of vibrations induced by an electric motor.

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Section: Introductionmentioning

confidence: 99%

Requirements for vibroacoustic methods of the quality assessment of vehicles traction electric motors

Migal,

Arhun,

Hnatov

et al. 2024

Noise & Vibration Worldwide

View full text Add to dashboard Cite

show abstract

“…Finally, the Fourier decomposition of the obtained signal is performed to show the characteristic failure components. Other effective signals processing tools for rolling element diagnosis include traditional spectral analysis [13], Empirical Mode Decomposition (EMD) [14], the discrete wavelet decomposition [15] or cyclostationary tools [16]. Traditionally, these techniques are utilized for fixed operating machine conditions with fixed load and speed.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Diagnosis of Localized Rolling Bearing Faults during Rotating Machine Start-Up via Vibration Envelope Analysis

Ruiz-Sarrio,

Antonino-Daviu,

Martis

2024

Electronics

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The analysis of electrical machine faults during start-up, and variable speed and load conditions offers numerous advantages for fault detection and diagnosis. In this context, diagnosing localized bearing faults through vibration signals remains challenging, particularly in developing physically meaningful, simple, and resampling-free techniques to monitor fault characteristic components throughout machine start-up. This study introduces a straightforward method for qualitatively identifying the time-frequency evolutions of localized bearing faults during the start-up of an inverter-fed machine. The proposed technique utilizes the time-frequency representation of the envelope spectrum, effectively highlighting characteristic fault frequencies during transient operation. The method is tested in an open-source dataset including transient vibration signals. In addition, the work studies the method limitations induced by the mechanical transfer path, when the bearing surroundings are not directly accessible for vibration acquisition. The proposed methodology efficiently identifies incipient localized bearing faults during inverter-fed machine start-up when the fault signature is not highly attenuated.

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“…As we know, motor vehicles, aircraft, machine tools, and other mechanical equipment inevitably produce mechanical vibration, which can reveal the working state of the machine [ 26 , 27 ]. Monitoring and recording abnormal vibration of the machine is of great significance to machine safety.…”

Section: Introductionmentioning

confidence: 99%

Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch

Lin

Wang

et al. 2022

Sensors

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With the extensive application of wireless sensing nodes, the demand for sustainable energy in unattended environments is increasing. Here, we report a self-powered and autonomous vibrational wake-up system (SAVWS) based on triboelectric nanogenerators and micro-electromechanical system (MEMS) switches. The energy triboelectric nanogenerator (E-TENG) harvests vibration energy to power the wireless transmitter through a MEMS switch. The signal triboelectric nanogenerator (S-TENG) controls the state of the MEMS switch as a self-powered accelerometer and shows good linearity in the acceleration range of 1–4.5 m/s2 at 30 Hz with a sensitivity of about 14.6 V/(m/s2). When the acceleration increases, the S-TENG turns on the MEMS switch, and the wireless transmitter transmits an alarm signal with the energy from E-TENG, using only 0.64 mJ. Using TENGs simultaneously as an energy source and a sensor, the SAVWS provides a self-powered vibration monitoring solution for unattended environments and shows extensive applications and great promise in smart factories, autonomous driving, and the Internet of Things.

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Vibrations for fault detection in electric machines

Cited by 16 publications

References 13 publications

Requirements for vibroacoustic methods of the quality assessment of vehicles traction electric motors

Requirements for vibroacoustic methods of the quality assessment of vehicles traction electric motors

Comprehensive Diagnosis of Localized Rolling Bearing Faults during Rotating Machine Start-Up via Vibration Envelope Analysis

Self-Powered and Autonomous Vibrational Wake-Up System Based on Triboelectric Nanogenerators and MEMS Switch

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