Real-Time Detection of Incipient Inter-Turn Short Circuit and Sensor Faults in Permanent Magnet Synchronous Motor Drives Based on Generalized Likelihood Ratio Test and Structural Analysis

Ebrahimi, Saeed Hasan; Choux, Martin; Khang, Huynh Van

doi:10.3390/s22093407

Cited by 13 publications

(3 citation statements)

References 42 publications

(48 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A permanent magnet motor utilizes this principle, so it does not require an external excitation current. Instead, it directly utilizes the magnetic field of a permanent magnet [5].…”

Section: Advantages Of Permanent Magnet Motor Drives In Greenhouse Ga...mentioning

confidence: 99%

Permanent magnet motor drive technology for mitigating greenhouse gas emissions

Song

2024

ACE

View full text Add to dashboard Cite

Global climate change, resulting from the release of greenhouse gases, poses a severe threat to human existence. The detrimental consequences of this phenomenon encompass rising sea levels, modified climate zones, and intensified extreme weather events. To counteract greenhouse gas emissions, the development of permanent magnet motor drive technology has gained prominence, especially in the automotive industry. This comprehensive review examines the advantages, limitations, and potential applications of permanent magnet motor drives in mitigating the adverse effects of greenhouse gases. Furthermore, the review addresses the challenges associated with this technology and outlines future research and development directions in this field. The findings of this review provide valuable insights into the capacity of permanent magnet motor drives to combat climate change and pave the way for future advancements in this critical domain. By adopting and advancing this technology, we can strive towards a more sustainable future and alleviate the threats posed by global climate change.

show abstract

“…A permanent magnet motor utilizes this principle, so it does not require an external excitation current. Instead, it directly utilizes the magnetic field of a permanent magnet [5].…”

Section: Advantages Of Permanent Magnet Motor Drives In Greenhouse Ga...mentioning

confidence: 99%

Permanent magnet motor drive technology for mitigating greenhouse gas emissions

Song

2024

ACE

View full text Add to dashboard Cite

show abstract

“…Interest in continually developing techniques for the diagnosis of faults in electrical machines is related to several factors. Firstly, the overall number of embedded motors that are employed in different applications, such as industrial systems, renewable energy generating systems, and HEVs [4]. However, owing to the ageing of materials, manufacturing faults, or sever conditions, various types of electrical, mechanical, and magnetic faults can occur in the machine [5], for example: open phase faults, interturn short circuit faults, lack of turns (LTs) faults in the stator winding, eccentricity, demagnetization, and magnetic circuit faults [6].…”

Section: Introductionmentioning

confidence: 99%

Analytical Modeling, Analysis and Diagnosis of External Rotor PMSM with Stator Winding Unbalance Fault

et al. 2023

View full text Add to dashboard Cite

Multiple factors and consequences may lead to a stator winding fault in an external rotor permanent magnet synchronous motor that can unleash a complete system shutdown and impair performance and motor reliability. This type of fault causes disturbances in operation if it is not recognized and detected in time, since it might lead to catastrophic consequences. In particular, an external rotor permanent magnet synchronous motor has disadvantages in terms of fault tolerance. Consequently, the distribution of the air-gap flux density will no longer be uniform, producing fault harmonics. However, a crucial step of diagnosis and controlling the system condition is to develop an accurate model of the machine with a lack of turns in the stator winding. This paper presents an analytical model of the stator winding unbalance fault represented by lack of turns. Here, mathematical approaches are used by introducing a stator winding parameter for the analytical modeling of the faulty machine. This model can be employed to determine the various quantities of the machine under different fault levels, including the magnetomotive force, the flux density in the air-gap, the flux generated by the stator winding, the stator inductances, and the electromagnetic torque. On this basis, a corresponding link between the fault level and its signature is established. The feasibility and efficiency of the analytical approach are validated by finite element analysis and experimental implementation.

show abstract

“…In these applications, PMSMs drive loads with high inertia and start frequently [5]. Due to the manufacturing defects and the effects of wear, deformation and corrosion that occur during operation, the performance of the PMSM will gradually decline as component performance deteriorates, which can trigger safety hazards, and in severe cases even downtime accidents [6,7], resulting in significant economic losses [8][9][10][11]. Therefore, accurate motor fault diagnosis algorithms are crucial.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of PMSMs Based on Image Features of Multi-Sensor Fusion

Wang,

Ma,

Meng

et al. 2023

Sensors

View full text Add to dashboard Cite

Permanent magnet synchronous motors (PMSMs) are extensively utilized in production and manufacturing fields due to their wide speed range, high output torque, fast speed response, small size and light weight. PMSMs are susceptible to inter-turn short circuit faults, demagnetization faults, bearing faults, and other faults arising from irregular vibrations and frequent start–brake cycles. While fault diagnosis for PMSMs offers an effective means to enhance operational efficiency, the multi-sensor information fusion is often overlooked. In industrial production processes, the collected data inevitably suffers from noise contamination, which can adversely impact diagnostic outcomes. To enhance the robustness of diagnostic methods in noisy environments and mitigate the risk of overfitting, a PMSM fault diagnosis method based on image features of multi-sensor fusion is proposed. Firstly, the vibration acceleration signals of the PMSM at different positions were acquired. Then, the newly designed multi-signal Gramian Angular Difference Fields (MGADF) method combines sensor signals from three different installation locations into a single image. Next, the multi-texture features are fused to extract the features of the image. Various machine models are compared in the fault feature learning and classification, and the results show that the proposed diagnostic method has good diagnostic accuracy and robustness, with an average diagnostic accuracy of 99.54% and a standard deviation of accuracy of 0.19. It has excellent performance even in noisy environments. The method is non-invasive and can be extended and applied to the condition monitoring and diagnosis of industrial motors.

show abstract

Real-Time Detection of Incipient Inter-Turn Short Circuit and Sensor Faults in Permanent Magnet Synchronous Motor Drives Based on Generalized Likelihood Ratio Test and Structural Analysis

Cited by 13 publications

References 42 publications

Permanent magnet motor drive technology for mitigating greenhouse gas emissions

Permanent magnet motor drive technology for mitigating greenhouse gas emissions

Analytical Modeling, Analysis and Diagnosis of External Rotor PMSM with Stator Winding Unbalance Fault

Fault Diagnosis of PMSMs Based on Image Features of Multi-Sensor Fusion

Contact Info

Product

Resources

About