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Electronics
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Advanced Fault Detection, Diagnosis and Control in Industrial Electronics
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Advanced Fault Detection, Diagnosis and Control in Industrial Electronics

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Power Electronics".

Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 4329

Special Issue Editors

Dr. Jose Luis Calvo-Rolle

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of A Coruña, 15405 Ferrol, Spain
Interests: knowledge engineering and expert systems for diagnosis and control systems; intelligent systems for modeling; optimization, and control; fault and anomaly detection using traditional and intelligent techniques; new sensors; robust sensors; and virtual sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Francisco Zayas-Gato

E-Mail Website
Guest Editor
CTC, Department of Industrial Engineering, CITIC, University of A Coruña, EPEF, Calle Mendizábal, s/n, Campus de Esteiro, Ferrol, 15403 A Coruña, Spain
Interests: knowledge engineering and expert systems for diagnosis and control systems; intelligent systems for modelling, optimization and control; fault and anomalies detection using traditional and intelligent techniques; new sensors; robust sensors and virtual sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The challenges produced by pollution because of climate change have prompted society to explore alternative energy sources, particularly clean energy sources. New engineering and industry standards are also present; thus, it is essential to overcome some significant obstacles. Examples of some of them include reducing energy usage and emissions, improving human quality of life, and meeting industrial improvement demands. These facts demand specific attention from researchers and technological professionals, who must work to change the circumstance and prevalence pattern in cases like the ones listed above. Even though they are incredibly important to successfully resolve most problems, traditional procedures frequently have limits. New cutting-edge developments are therefore necessary.

This Special Issue provides an exciting forum for discussion of the most recent developments and practical uses of Advanced Fault Detection, Diagnosis, and Control in Industrial Electronics.

The following areas are among those that this Special Issue hopes to advance:

  • diagnosis and fault identification;
  • updating conventional systems;
  • the development of novel intelligent control topologies and methodologies;
  • modeling complex systems;
  • process and method improvement;
  • applications of intelligent systems to industrial operations;
  • optimization of and increase in system performance;
  • uses of intelligent systems;
  • applications for intelligent controls;
  • applications for smart grids and micro-grids;
  • applications for electro-mobility and mobility;
  • applied power electronics;
  • Internet of Things.

Technical Program Committee Members:

  1. Álvaro Michelena Grandío University of A Coruña
  2. Míriam Timiraos Díaz University of A Coruña
  3. Esteban Jove University of A Coruña
  4. Héctor Quintián University of A Coruña
  5. José Luis Casteleiro-Roca University of A Coruña
  6. Víctor Caínzos University of A Coruña

Dr. Jose Luis Calvo-Rolle
Prof. Dr. Francisco Zayas-Gato
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (5 papers)

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Research

13 pages, 2401 KiB  
Article
Boundary Protection Based on S-Transform Considering Fault Factors
by Zhenwei Guo, Jiemei Huang, Yingcai Deng, Qian Huang, Yi Luo and Zebo Huang
Electronics 2024, 13(8), 1464; https://doi.org/10.3390/electronics13081464 - 12 Apr 2024
Viewed by 264
Abstract
Boundary protection is a protection that takes advantage of the characteristic that signals will be attenuated when passing through the “line boundary”. The location of the traps and current transformers in the structure of extra-high voltage (EHV) transmission lines makes it difficult to [...] Read more.
Boundary protection is a protection that takes advantage of the characteristic that signals will be attenuated when passing through the “line boundary”. The location of the traps and current transformers in the structure of extra-high voltage (EHV) transmission lines makes it difficult to apply current-based travelling wave protection in engineering practice. If the protection is put into use, it is necessary to carry out a large number of engineering modifications to the existing transmission lines, which greatly increases the economic cost. And after simulation, the protection will be misjudged under weak fault conditions, and it has low reliability. After analyzing the influence of fault factors, a boundary protection method using high-frequency voltage component energy is proposed. The fault signal is processed by S-transform, and the transient voltage energy is normalized with the initial fault phase and transition resistance. The reduced characteristic quantity is used to construct a criterion to judge the fault condition of the protection line. This protection eliminates the influence of fault factors on transient protection. The ATP-Draw 6.0 simulation results based on the proposed protection scheme show that the protection scheme can distinguish internal and external faults, and can work normally under weak faults with high reliability. Full article
(This article belongs to the Special Issue Advanced Fault Detection, Diagnosis and Control in Industrial Electronics)
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23 pages, 10838 KiB  
Article
A Period Energy Method for Demagnetization Detection in Surface Permanent Magnet Motors with Search Coils
by Wen Huang, Junquan Chen, Wu Su, Haitao Liu, Ke Lv and Jinghua Hu
Electronics 2023, 12(16), 3514; https://doi.org/10.3390/electronics12163514 - 19 Aug 2023
Viewed by 771
Abstract
Irreversible demagnetization of permanent magnets (PMs) in PM synchronous motors (PMSMs) degrades the performance and efficiency of a machine and its drive system. There are numerous fault diagnosis methods for detecting demagnetization under steady-state conditions. However, only a few works could be found [...] Read more.
Irreversible demagnetization of permanent magnets (PMs) in PM synchronous motors (PMSMs) degrades the performance and efficiency of a machine and its drive system. There are numerous fault diagnosis methods for detecting demagnetization under steady-state conditions. However, only a few works could be found on fault diagnosis under dynamic conditions, whereas the dynamic operation of a motor is a very common scenario, e.g., electric vehicles. The voltage and current signal-based traditional fault detection method is not only affected by the structure of the motor, but it also becomes complicated to extract signals involving fault characteristics. Hence, this paper proposes a search coil-based online method for detecting demagnetization faults in PMSMs under dynamic conditions, which are not affected by the motor structure. To gather the flux of the stator tooth, flexible Printed circuit board (FPCB) search coils are positioned at the stator slot. The search coil is made up of two branches that are one pole apart and arranged in reverse sequence. In this installation option, the output signal in the fault state cannot be eliminated, and the output signal in the health state is zero. This paper defines only that characteristic value related to the position angle of the rotor. Further, the aim was to simultaneously eliminate the influence of elements like the search coil installation error and the inherent dispersion of the permanent magnet on the detection results. To characterize the fault degree, the measurement differential between the health state and the fault state is further integrated according to a predetermined angle range. Last but not least, speed-independent detection of individual permanent magnet demagnetization faults is possible using rotor position and stator tooth flux. A six-phase PMSM was used in experiments to show the efficiency of the suggested approach. The findings of the experiment demonstrate that the suggested strategy may precisely ascertain when a defect will occur. Full article
(This article belongs to the Special Issue Advanced Fault Detection, Diagnosis and Control in Industrial Electronics)
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19 pages, 8237 KiB  
Article
Disturbance Decoupling for a Single-Phase Pulse Width Modulation Rectifier Based on an Extended H-Infinity Filter
by Egone Ndabarushimana, Na Qin and Lei Ma
Electronics 2023, 12(13), 2765; https://doi.org/10.3390/electronics12132765 - 21 Jun 2023
Cited by 1 | Viewed by 835
Abstract
The growing utilization of single-phase pulse width modulation (PWM) rectifiers in various applications has spurred interest in detecting and monitoring faults in these devices. In particular, voltage and current sensors play a crucial role in the control loop of these rectifiers. However, sensor [...] Read more.
The growing utilization of single-phase pulse width modulation (PWM) rectifiers in various applications has spurred interest in detecting and monitoring faults in these devices. In particular, voltage and current sensors play a crucial role in the control loop of these rectifiers. However, sensor faults can significantly affect the converter’s performance and availability. This paper introduces a novel and efficient method for detecting and decoupling sensor faults in single-phase PWM rectifiers. The proposed method utilizes residual generation and incorporates an extended filter within the rectifier. Unlike conventional filters, the presented fault detection and isolation (FDI) method effectively eliminates the influence of disturbances on the residual signal. This feature helps prevent false alarms in the monitored system, ensuring reliable fault detection. To evaluate the effectiveness of the approach, hardware-in-the-loop and simulation tests were conducted. The results from these tests provide substantial evidence supporting the efficacy of the proposed method. The hardware-in-the-loop experiments involved real-world implementation, validating the practicality and reliability of the approach. Meanwhile, simulation tests allowed for a comprehensive analysis of system behavior and performance under various fault scenarios. The findings demonstrate the rapid and dependable nature of the proposed method for detecting and decoupling sensor faults in single-phase PWM rectifiers. By effectively mitigating the impact of disturbances on the residual signal, false alarms are minimized, ensuring accurate fault detection. The experimental validation highlights the practical applicability and effectiveness of the proposed approach, making it a valuable contribution to fault detection in single-phase PWM rectifiers. Full article
(This article belongs to the Special Issue Advanced Fault Detection, Diagnosis and Control in Industrial Electronics)
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19 pages, 1334 KiB  
Article
Assessing Control Sustainability Using L-Moment Ratio Diagrams
by Paweł D. Domański, Robert Jankowski, Krzysztof Dziuba and Radosław Góra
Electronics 2023, 12(11), 2377; https://doi.org/10.3390/electronics12112377 - 24 May 2023
Cited by 1 | Viewed by 877
Abstract
This paper presents an application of L-moment statistics and the respective L-moment ratio diagrams (LMRD) to assess control performance, in particular, in terms of control system sustainability. L-moment diagrams are common in extreme events analysis and are considered a very powerful tool in [...] Read more.
This paper presents an application of L-moment statistics and the respective L-moment ratio diagrams (LMRD) to assess control performance, in particular, in terms of control system sustainability. L-moment diagrams are common in extreme events analysis and are considered a very powerful tool in this field at the regional level. Control system assessment is a well-established research area that investigates approaches and methodologies for measuring the quality of control systems. Statistical moments can be used to assess the effectiveness of control systems. The same principle applies to L-moments, with a possible further application to the assessment of control system robustness. The incorporation of the time impact into the analysis allows us to examine the evolution of control systems. In this context, measuring sustainability is only one step away. In this research, L-moments and L-moment ratio diagrams are used to assess the quality of PID-based control systems. In addition, the evolution of their performance over time is depicted visually. Moreover, a robust discordance measure is proposed to measure the robustness, evolution, and sustainability of control systems. The proposed approach is successfully validated using real industrial data obtained from PID basic regulatory control within the hierarchical advanced process control (APC) structure of a large ammonia production plant. Full article
(This article belongs to the Special Issue Advanced Fault Detection, Diagnosis and Control in Industrial Electronics)
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14 pages, 2497 KiB  
Article
Robust Sensor Fault Detection for a Single-Phase Pulse Width Modulation Rectifier
by Egone Ndabarushimana and Lei Ma
Electronics 2023, 12(11), 2366; https://doi.org/10.3390/electronics12112366 - 24 May 2023
Cited by 2 | Viewed by 883
Abstract
Maintaining safe and efficient operation in a single-phase pulse width modulation (PWM) rectifier that employs current sensors relies heavily on accurate sensor readings. However, several factors such as environmental conditions, aging, or damage can lead to sensor faults. Therefore, it is imperative to [...] Read more.
Maintaining safe and efficient operation in a single-phase pulse width modulation (PWM) rectifier that employs current sensors relies heavily on accurate sensor readings. However, several factors such as environmental conditions, aging, or damage can lead to sensor faults. Therefore, it is imperative to implement robust fault detection methods to ensure reliable system operation. The use of unknown input observer techniques is one such method that involves analyzing the differences between actual and estimated states to detect and identify faults in the system. This paper presents the development of a fault detection method that employs an unknown input observer with high sensitivity to faults and disturbance rejection to achieve robust fault detection. The method involves modeling the system as a state-space model and designing an observer to estimate the system’s state variables based on input and output measurements. The deviations between the actual and estimated states are then analyzed to detect and identify sensor faults, without the need for additional hardware, making it a cost-effective solution. Hardware-in-the-loop tests confirm the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Advanced Fault Detection, Diagnosis and Control in Industrial Electronics)
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