Vibration Transient Detection of Broken Rotor Bars by PSH Sidebands

Climente-Alarcón, Vicente; Antonino-Daviu, José A.; Vedreno-Santos, F.; Puche-Panadero, Rubén

doi:10.1109/tia.2013.2265872

Cited by 62 publications

(22 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, any fault in the power scheme leads to the change of the vibration pattern. For example, an analysis of the vibrations of an induction machine allows for the detection of broken rotor bars [12,13], as well as rotor and stator wire insulation defects [14]. The power scheme may be non-electrical.…”

Section: Typical Use Of Vibrations In Techncial Diagnisticsmentioning

confidence: 99%

Customized Vibration Generator for State of Health Monitoring of Prosthetic Implants and Pseudo-Bionic Machine–Human Feedbacks

et al. 2019

View full text Add to dashboard Cite

Modern industrial, household and other equipment include sophisticated power mechanisms and complicated control solutions that require tighter human–machine–human interactions to form the structures known as cyber–physical–human systems. Their significant parts are human–machine command links and machine–human feedbacks. Such systems are found in medicine, e.g., in orthopedics, where they are important for the operation and functional abilities of orthopedic devices—wheelchair, prosthesis, rehabilitation units, etc. The mentioned feedbacks may be implemented based on the haptic perceptions that requires vibration actuators. In orthopedics, such actuators can be used also for diagnostic purposes. This research brings forward the idea of the use of 3D printing in conjunction with high quality permanent magnets. This allows for the achievement of better efficiency, smaller size, and the developing of actuators individually for particular circumstances. The obtained simulation, experimental data, and data about 3D manufacturing generally confirm the above hypothesis. In particular, the stiffness coefficient of the actuator’s membrane and attached mass, which can be changed easily during 3D printing, affects the frequency of maximal power output. Secondly, the 3D manufacturing process is quick, tunable and rather cheap. Finally, an elaboration of the design of the actuator that allows for the real-time modification of stiffness and mass in a program way is planned for future works.

show abstract

Section: Typical Use Of Vibrations In Techncial Diagnisticsmentioning

confidence: 99%

Customized Vibration Generator for State of Health Monitoring of Prosthetic Implants and Pseudo-Bionic Machine–Human Feedbacks

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The defective and natural frequencies of the machine is identified through an analysis of the frequency spectrum of vibration signal using signal processing techniques [14]- [19]; in these papers induction machines are mostly investigated. In [17], detection of broken-bars in induction machines by principal slot harmonics sidebands using transient vibration is investigated. Signatures associated with the harmonics are tracked.…”

Section: Index Terms-mentioning

confidence: 99%

Detection of Static Eccentricities in Axial-Flux Permanent-Magnet Machines With Concentrated Windings Using Vibration Analysis

Ogidi

Barendse

Khan

2015

IEEE Trans. on Ind. Applicat.

View full text Add to dashboard Cite

“…In [5], the advanced use of wavelet analysis by analyzing an axial vibration signal was introduced for BRB faults detection through removing the effects of the interference frequency components. In [6], the Zhao-Atlas-Marks (ZAM) distribution was investigated for BRB faults diagnosis based on vibration transient signals. In a recent work, Rangel-Magdaleno [7] developed a demodulation methodology using discrete wavelet transform (DWT) and autocorrelation methods for the incipient broken bar detection based on MVSA.…”

Section: Introductionmentioning

confidence: 99%

Fault Identification of Broken Rotor Bars in Induction Motors Using an Improved Cyclic Modulation Spectral Analysis

Wang

Yang

et al. 2019

Energies

View full text Add to dashboard Cite

Induction motors (IMs) play an essential role in the field of various industrial applications. Long-time service and tough working situations make IMs become prone to a broken rotor bar (BRB) that is one of the major causes of IMs faults. Hence, the continuous condition monitoring of BRB faults demands a computationally efficient and accurate signal diagnosis technique. The advantage of high reliability and wide applicability in condition monitoring and fault diagnosis based on vibration signature analysis results in an improved cyclic modulation spectrum (CMS), which is one of the cyclic spectral analysis algorithms. CMS is proposed in this paper for the detection and identification of BRB faults in IMs at a steady-state operation based on a vibration signature analysis. The application of CMS is based on the short-time Fourier transform (STFT) and the improved CMS approach is attributed to the optimization of STFT. The optimal window is selected to improve the accuracy for identifying the BRB fault types and severities. The appropriate window length and step size are optimized based on the selected window function to receive a better calculation benefit through simulation and experimental analysis. Compared to other estimators, the improved CMS method provides better fault detectability results by analyzing vertical vibration signatures of a healthy motor, and damaged motors with 1 BRB and 2 BRBs under 0%, 20%, 40%, 60%, and 80% load conditions. Both synthetic and experimental investigations demonstrate the proposed methodology can significantly reduce computational costs and identify the BRB fault types and severities effectively.

show abstract

Vibration Transient Detection of Broken Rotor Bars by PSH Sidebands

Cited by 62 publications

References 28 publications

Customized Vibration Generator for State of Health Monitoring of Prosthetic Implants and Pseudo-Bionic Machine–Human Feedbacks

Customized Vibration Generator for State of Health Monitoring of Prosthetic Implants and Pseudo-Bionic Machine–Human Feedbacks

Detection of Static Eccentricities in Axial-Flux Permanent-Magnet Machines With Concentrated Windings Using Vibration Analysis

Fault Identification of Broken Rotor Bars in Induction Motors Using an Improved Cyclic Modulation Spectral Analysis

Contact Info

Product

Resources

About