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Bilal Akin - IEEE Xplore Author Profile
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Bilal Akin

Also published under: B. Akin, Akin Bilal, A. Bilal

Publications
203
Citations
4,749
Publications by Year
20032025
Co-Authors:
Show All Co-Authors (127)
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Bilal Akin

Also published under: B. Akin, Akin Bilal, A. Bilal

Affiliation

Electrical Engineering
UT Dallas
Dallas, USA

Publication Topics

Biography

Bilal Akin (S’03–M’08–SM’13) received the B.S. and M.S. degrees in electrical engineering from Middle East Technical University, Ankara, Turkey, in 2000 and 2003, respectively, and the Ph.D. degree in electrical engineering from the Texas A&M University, College Station, TX, USA, in 2007.,He was an R&D Engineer with Toshiba Industrial Division, Houston, TX, from 2005 to 2008. From 2008 to 2012, he was an R&D Engineer at C2000 Embedded Control Group, Texas Instruments Incorporated. Since 2012, he has been with the University of Texas at Dallas as an Assistant Professor. His research interests include design, control and diagnosis of electric motors and drives, digital power control and management, fault diagnosis and condition monitor...
Publications
203
Citations
4,749
Publications by Year
20032025
Co-Authors:
Show All Co-Authors (127)
Author's Published Works

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Gate Leakage Current Characterization and Remaining Useful Lifetime Prediction in Silicon Carbide MOSFETs

Mustafa Murat Sezer;Fatih Akici;Mojtaba Afshar;Bhanu Teja Vankayalapati;Bilal Akin

IEEE Transactions on Transportation Electrification
Year: 2025 | Early Access Article |
This paper presents a comprehensive study on gate leakage current characterization of silicon carbide (SiC) MOSFETs and the prediction of the device’s remaining useful lifetime (RUL) using machine learning methods. Recent studies in SiC MOSFETs reliability recognizes gate leakage currents as an aging indicator. However, most measurements confined to periodic measurements of one device type. This l...Show More

Gate Leakage Current Characterization and Remaining Useful Lifetime Prediction in Silicon Carbide MOSFETs

Mustafa Murat Sezer;Fatih Akici;Mojtaba Afshar;Bhanu Teja Vankayalapati;Bilal Akin

Year: 2025 | Early Access Article |

A Practical Control Method for Single-Phase Input PMSM Drives With Small DC-Link Capacitor

Akshay Vijayrao Deshmukh;Mojtaba Afshar;Sritam Jena;Ahmet M. Hava;Zhen Yu;Bilal Akin

IEEE Transactions on Power Electronics
Year: 2025 | Volume: 40, Issue: 3 | Journal Article |
The primary function of the large electrolytic dc-link capacitor in the single-phase input motor drives is to enhance dc voltage stability by minimizing voltage fluctuations. Because they are both bulky and unreliable components, reducing the size of dc-link capacitors or substituting them with significantly low capacitance value film capacitors offers numerous advantages. This article introduces ...Show More

A Practical Control Method for Single-Phase Input PMSM Drives With Small DC-Link Capacitor

Akshay Vijayrao Deshmukh;Mojtaba Afshar;Sritam Jena;Ahmet M. Hava;Zhen Yu;Bilal Akin

Year: 2025 | Volume: 40, Issue: 3 | Journal Article |

A Comprehensive Investigation of Fault Signatures and Spectrum Analysis of Vibration Signals in Distributed Bearing Faults

Mojtaba Afshar;Mehrdad Heydarzadeh;Bilal Akin

IEEE Transactions on Industry Applications
Year: 2025 | Volume: 61, Issue: 1 | Journal Article |
Cited by: Papers (1)
In industry, distributed bearing faults are prevalent and stem from factors like inadequate lubrication, contamination, and electrical erosion, to name a few. These faults exhibit complex and unpredictable vibration patterns in contrast to localized ones including single and multi-point defects. The literature extensively discusses localized faults, particularly single-point defects. However, a th...Show More

A Comprehensive Investigation of Fault Signatures and Spectrum Analysis of Vibration Signals in Distributed Bearing Faults

Mojtaba Afshar;Mehrdad Heydarzadeh;Bilal Akin

Year: 2025 | Volume: 61, Issue: 1 | Journal Article |

Design and Control of High-Frequency Buck Converter Fed Six-Step Drive for Air-Core PMSM

Sritam Jena;Saurabh Kumar;Akshay Vijayrao Deshmukh;Ahmet M. Hava;Bilal Akin;Christopher Gabrys;Timothy Rodgers

IEEE Journal of Emerging and Selected Topics in Power Electronics
Year: 2025 | Volume: 13, Issue: 1 | Journal Article |
Air-core permanent magnet synchronous motors (PMSMs) machines are becoming known for their higher efficiency, lighter weight designs, and superior performance compared to widely utilized induction motors (IMs). They hold great potential for diverse industrial applications. However, effectively harnessing this potential requires overcoming drive hardware and control challenges. This research introd...Show More

Design and Control of High-Frequency Buck Converter Fed Six-Step Drive for Air-Core PMSM

Sritam Jena;Saurabh Kumar;Akshay Vijayrao Deshmukh;Ahmet M. Hava;Bilal Akin;Christopher Gabrys;Timothy Rodgers

Year: 2025 | Volume: 13, Issue: 1 | Journal Article |

A Robust Inductance Estimation Method at Standstill Considering Magnetic Saturation

Akshay Vijayrao Deshmukh;Feyzullah Erturk;Sritam Jena;Bilal Akin

IEEE Transactions on Transportation Electrification
Year: 2024 | Early Access Article |
This paper presents a seamless d-q axis inductance measurement method for permanent magnet motor drives at start-up in milli-seconds taking magnetic and cross-saturation effects into account. The proposed method deploys a machine model that incorporates these saturation effects and high-frequency injection (HFI) to generate a 3D/2D mapping of inductances across all operating regions. Additionally,...Show More

A Robust Inductance Estimation Method at Standstill Considering Magnetic Saturation

Akshay Vijayrao Deshmukh;Feyzullah Erturk;Sritam Jena;Bilal Akin

Year: 2024 | Early Access Article |

Current-Driven Deep Learning for Enhanced Motor Bearing Prognostics

Mojtaba Afshar;Ramin Rajabioun;Bilal Akin

IEEE Transactions on Industry Applications
Year: 2024 | Early Access Article |
An innovative deep-learning framework embedding residual and channel attention blocks is introduced, tailored explicitly to assess the remaining lifespan of cooling motor bearings affected by distributed faults, utilizing only 3-phase current signals. Cooling fan motors are integral to the stability of power electronics systems and data centers. Using an accelerometer to monitor bearings is not ve...Show More

Current-Driven Deep Learning for Enhanced Motor Bearing Prognostics

Mojtaba Afshar;Ramin Rajabioun;Bilal Akin

Year: 2024 | Early Access Article |

Switching Transient-Based Junction Temperature Estimation of SiC MOSFETs With Aging Compensation

Masoud Farhadi;Rahman Sajadi;Bhanu Teja Vankayalapati;Bilal Akin

IEEE Transactions on Power Electronics
Year: 2024 | Volume: 39, Issue: 10 | Journal Article |
This article puts forward a novel online method to measure the junction temperature ($T_{j}$) of silicon carbide (SiC) mosfets. In this method, the voltage spikes in the common source stray inductance are captured to obtain the turn-on and turn-off switching transients of SiC mosfets. The switching transients contain useful information pertaining to the temperature and are used to extract the junc...Show More

Switching Transient-Based Junction Temperature Estimation of SiC MOSFETs With Aging Compensation

Masoud Farhadi;Rahman Sajadi;Bhanu Teja Vankayalapati;Bilal Akin

Year: 2024 | Volume: 39, Issue: 10 | Journal Article |

Model Based Junction Temperature Profile Control of SiC MOSFETs in DC Power Cycling for Accurate Reliability Assessments

Bhanu Teja Vankayalapati;Rahman Sajadi;Muhammed Ajmal CN;Akshay Vijayrao Deshmukh;Masoud Farhadi;Bilal Akin

IEEE Transactions on Industry Applications
Year: 2024 | Volume: 60, Issue: 5 | Journal Article |
Accurate control of junction temperature swing is crucial in DC power cycling tests for reliability assessments. In this work, a model based aging independent closed-loop junction temperature profile control method is proposed. Specifically, the temperature ramp rate and dwell time at the maximum junction temperature are controlled. The device's on-state resistance measurements are used to accurat...Show More

Model Based Junction Temperature Profile Control of SiC MOSFETs in DC Power Cycling for Accurate Reliability Assessments

Bhanu Teja Vankayalapati;Rahman Sajadi;Muhammed Ajmal CN;Akshay Vijayrao Deshmukh;Masoud Farhadi;Bilal Akin

Year: 2024 | Volume: 60, Issue: 5 | Journal Article |

Reliability Evaluation of Isolated LDMOS Devices and Condition Monitoring Solution

Rahman Sajadi;Chi Xu;Bhanu Teja Vankayalapati;Masoud Farhadi;Bilal Akin

IEEE Transactions on Components, Packaging and Manufacturing Technology
Year: 2024 | Volume: 14, Issue: 5 | Journal Article |
Cited by: Papers (1)
This article investigates the robustness and performance degradation of isolated laterally diffused metal–oxide–semiconductor (LDMOS) devices under repetitive avalanche breakdown and dynamic reliability tests. To achieve this objective, three custom LDMOS devices with different isolation configurations are designed and taped out to study the impact of the connection and width of the isolation well...Show More

Reliability Evaluation of Isolated LDMOS Devices and Condition Monitoring Solution

Rahman Sajadi;Chi Xu;Bhanu Teja Vankayalapati;Masoud Farhadi;Bilal Akin

Year: 2024 | Volume: 14, Issue: 5 | Journal Article |

Third Quadrant Operation of SiC MOSFETs: Comprehensive Analysis and Condition Monitoring Solution

Rahman Sajadi;Enes Ugur;Masoud Farhadi;Bhanu Teja Vankayalapati;Ali Saadat;William G. Vandenberghe;Bilal Akin

IEEE Transactions on Components, Packaging and Manufacturing Technology
Year: 2024 | Volume: 14, Issue: 5 | Journal Article |
Cited by: Papers (3)
To achieve higher power density at a reduced cost, it is more advantageous to utilize the inherent body diode found in silicon carbide MOSFETs (SiC MOSFETs) rather than relying on an external Schottky barrier diode (SBD). Therefore, it is crucial to investigate the third quadrant operation of SiC MOSFETs and analyze the factors influencing the behavior and reliability of the body diode. By examini...Show More

Third Quadrant Operation of SiC MOSFETs: Comprehensive Analysis and Condition Monitoring Solution

Rahman Sajadi;Enes Ugur;Masoud Farhadi;Bhanu Teja Vankayalapati;Ali Saadat;William G. Vandenberghe;Bilal Akin

Year: 2024 | Volume: 14, Issue: 5 | Journal Article |

Real-Time Current-Based Distributed Bearing Faults Detection in Small Cooling Fan Motors

Mojtaba Afshar;Chen Li;Bilal Akin

IEEE Transactions on Industry Applications
Year: 2024 | Volume: 60, Issue: 2 | Journal Article |
Cited by: Papers (1)
Developing a simple real-time bearing fault detection algorithm is essential for small cooling fan motors, ensuring power electronics systems and data center stability. Our study introduces a real-time, low-resource algorithm for microcontrollers, utilizing motor current data to detect the most common bearing faults in these applications. Notably, small motors exhibit significant current changes d...Show More

Real-Time Current-Based Distributed Bearing Faults Detection in Small Cooling Fan Motors

Mojtaba Afshar;Chen Li;Bilal Akin

Year: 2024 | Volume: 60, Issue: 2 | Journal Article |

Classification of Distributed Bearing Faults Using a Novel Sensory Board and Deep Learning Networks With Hybrid Inputs

Ramin Rajabioun;Mojtaba Afshar;Özkan Atan;Mutlu Mete;Bilal Akin

IEEE Transactions on Energy Conversion
Year: 2024 | Volume: 39, Issue: 2 | Journal Article |
Cited by: Papers (1)
Distributed bearing faults are the most common ones in industry and create random vibration patterns, which make their detection difficult. They are caused by lubrication issues, contamination issues, electrical erosion, bearing roughness, or the spread of a local fault. This research mainly focuses on the distrusted bearing faults diagnosis using a multi-sensory kit. For this purpose, a novel dee...Show More

Classification of Distributed Bearing Faults Using a Novel Sensory Board and Deep Learning Networks With Hybrid Inputs

Ramin Rajabioun;Mojtaba Afshar;Özkan Atan;Mutlu Mete;Bilal Akin

Year: 2024 | Volume: 39, Issue: 2 | Journal Article |

Distributed Bearing Fault Classification of Induction Motors Using 2-D Deep Learning Model

Ramin Rajabioun;Mojtaba Afshar;Mutlu Mete;Özkan Atan;Bilal Akin

IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Year: 2024 | Volume: 5, Issue: 1 | Journal Article |
Cited by: Papers (3)
Distributed bearing faults are highly common in industrial applications and display unpredictable vibration patterns impeding their detection. These faults stem from issues such as lubrication deficiencies, contamination, electrical erosion, roughness of the bearing surface, or the propagation of localized faults. This study aims to detect distributed bearing faults by utilizing a multisensory app...Show More

Distributed Bearing Fault Classification of Induction Motors Using 2-D Deep Learning Model

Ramin Rajabioun;Mojtaba Afshar;Mutlu Mete;Özkan Atan;Bilal Akin

Year: 2024 | Volume: 5, Issue: 1 | Journal Article |

Gate-Oxide Degradation Monitoring of SiC MOSFETs Based on Transfer Characteristic With Temperature Compensation

Masoud Farhadi;Bhanu Teja Vankayalapati;Rahman Sajadi;Bilal Akin

IEEE Transactions on Transportation Electrification
Year: 2024 | Volume: 10, Issue: 1 | Journal Article |
Cited by: Papers (7)
Gate-oxide degradation is a concern in silicon carbide (SiC) MOSFETs especially in safety-critical applications such as aerospace and electric vehicles (EVs). To address this concern, this article presents an accurate gate-oxide degradation monitoring solution based on SiC devices’ transfer characteristics. Specifically, a plug-in circuit for gate driver is proposed to extract the transconductance...Show More

Gate-Oxide Degradation Monitoring of SiC MOSFETs Based on Transfer Characteristic With Temperature Compensation

Masoud Farhadi;Bhanu Teja Vankayalapati;Rahman Sajadi;Bilal Akin

Year: 2024 | Volume: 10, Issue: 1 | Journal Article |

An Expeditious Algorithm for Identification and Classification of Rotor Faults in Salient Pole Synchronous Generators

Hossein Ehya;Arne Nysveen;Bilal Akin;Konstantinos N. Gyftakis

IEEE Transactions on Industrial Electronics
Year: 2024 | Volume: 71, Issue: 2 | Journal Article |
Cited by: Papers (3)
Providing secure electricity depends on the reliable operation of the synchronous generators in power plants. Interturn short-circuit (ITSC) and dynamic eccentricity (DE) faults are among the most prevalent fault types in wound field synchronous generators (WFSGs). Among the various signals used to detect faults, such as current, voltage, and vibration, the stray magnetic field provides higher sen...Show More

An Expeditious Algorithm for Identification and Classification of Rotor Faults in Salient Pole Synchronous Generators

Hossein Ehya;Arne Nysveen;Bilal Akin;Konstantinos N. Gyftakis

Year: 2024 | Volume: 71, Issue: 2 | Journal Article |

Deep Learning-Based Bearing Fault Classification Using Stray Magnetic Flux Signal

Ramin Rajabioun;Mojtaba Afshar;Bilal Akin

2023 IEEE Energy Conversion Congress and Exposition (ECCE)
Year: 2023 | Conference Paper |
Detecting existing faults in bearing systems of electric motors is of utmost importance to prevent further damage and mitigate costly repairs. This paper addresses the challenging task of identifying distributed faults, which differ from the more commonly studied single point faults. Selecting an appropriate input is crucial for accurate fault diagnosis in real-world bearing systems. While various...Show More

Deep Learning-Based Bearing Fault Classification Using Stray Magnetic Flux Signal

Ramin Rajabioun;Mojtaba Afshar;Bilal Akin

Year: 2023 | Conference Paper |

Multi Sensory Distributed Bearing Fault Classification using Wavelet Scattering Transform

Mojtaba Afshar;Mehrdad Heydarzadeh;Bilal Akin

2023 IEEE Energy Conversion Congress and Exposition (ECCE)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Distributed bearing faults are a prevalent issue in the industrial sector, primarily attributed to factors such as inadequate lubrication, contamination, electrical erosion, and propagation of localized faults. This research offers a multi-signal fault diagnosis framework aimed at identifying and categorizing such faults in induction machines. The framework leverages the wavelet scattering transfo...Show More

Multi Sensory Distributed Bearing Fault Classification using Wavelet Scattering Transform

Mojtaba Afshar;Mehrdad Heydarzadeh;Bilal Akin

Year: 2023 | Conference Paper |

Magnetic Equivalent Circuit Model for Performance Prediction of Two-DOF Planar Resolver

Fateme Zare;Farid Tootoonchian;Ahmad Daniar;Matthew C. Gardner;Bilal Akin

IEEE Access
Year: 2023 | Volume: 11 | Journal Article |
Cited by: Papers (1)
In this paper, an analytical model based on the Magnetic Equivalent Circuit (MEC) method is developed for a planar wound mover two-degree of freedom (2-DOF) resolver. Planar resolvers enable mass, volume, and complexity reductions for position control of 2-DOF linear actuators. However, similar to any other linear electromagnetic sensors, the performance of the planar resolvers is negatively affec...Show More

Magnetic Equivalent Circuit Model for Performance Prediction of Two-DOF Planar Resolver

Fateme Zare;Farid Tootoonchian;Ahmad Daniar;Matthew C. Gardner;Bilal Akin

Year: 2023 | Volume: 11 | Journal Article |

A Robust Method for Estimation of Inductances at Standstill Considering Magnetic Saturation

Akshay Vijayrao Deshmukh;Bilal Akin

2023 IEEE International Electric Machines & Drives Conference (IEMDC)
Year: 2023 | Conference Paper |
This paper examines the effect of magnetic saturation and cross saturation on the d-q axis inductance in an interior permanent magnet synchronous motor (IPMSM) using a modified machine model that incorporates the saturation and cross saturation effects. A high-frequency injection (HFI) based practical and robust method is proposed to create the 3D/2D mapping of inductances for all operating region...Show More

A Robust Method for Estimation of Inductances at Standstill Considering Magnetic Saturation

Akshay Vijayrao Deshmukh;Bilal Akin

Year: 2023 | Conference Paper |

Fault Detection in Small Fan Motors Using MCSA

Chen Li;Mojtaba Afshar;Bilal Akin

2023 IEEE International Electric Machines & Drives Conference (IEMDC)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
This paper introduces a new method to detect lubrication faults in small fan brushless DC electric motors by combining stator phase current features. Bearing lubrication faults are generalized-roughness faults, making it difficult to obtain a characteristic frequency in current, especially when compared to single-point bearing faults. Consequently, the paper proposes using a combination of root me...Show More

Fault Detection in Small Fan Motors Using MCSA

Chen Li;Mojtaba Afshar;Bilal Akin

Year: 2023 | Conference Paper |

Comprehensive Investigation of the Resolver’s Eccentricity Effect on the Field-Oriented Control of PMSM

M. S. KhajueeZadeh;M. Emadaleslami;F. Tootoonchian;A. Daniar;M. C. Gardner;B. Akin

IEEE Sensors Journal
Year: 2023 | Volume: 23, Issue: 17 | Journal Article |
Cited by: Papers (14)
Accurate position feedback from a resolver is highly critical for high-performance field-oriented control (FOC) drives, and eccentricity in resolvers negatively affects the drive performance. The current unbalance intensity (CUI) of permanent magnet synchronous motors (PMSMs) is a known criterion to evaluate drive stability and can be caused by position feedback error. In this article, the eccentr...Show More

Comprehensive Investigation of the Resolver’s Eccentricity Effect on the Field-Oriented Control of PMSM

M. S. KhajueeZadeh;M. Emadaleslami;F. Tootoonchian;A. Daniar;M. C. Gardner;B. Akin

Year: 2023 | Volume: 23, Issue: 17 | Journal Article |

Reliability Evaluation of SiC MOSFETs Under Realistic Power Cycling Tests

Masoud Farhadi;Bhanu Teja Vankayalapati;Bilal Akin

IEEE Power Electronics Magazine
Year: 2023 | Volume: 10, Issue: 2 | Magazine Article |
Cited by: Papers (3)
The past decade has witnessed increasing migration from silicon (Si) to silicon carbide (SiC) in power electronics applications. This is due to the unique advantages of SiC over Si counterparts, like higher breakdown field, higher band gap, and higher thermal conductivity [1], [2]. Therefore, SiC devices can operate at faster switching frequencies, higher power density, and with exceptional therma...Show More

Reliability Evaluation of SiC MOSFETs Under Realistic Power Cycling Tests

Masoud Farhadi;Bhanu Teja Vankayalapati;Bilal Akin

Year: 2023 | Volume: 10, Issue: 2 | Magazine Article |

AC Power Cycling Test Setup and Condition Monitoring Tools for SiC-Based Traction Inverters

Masoud Farhadi;Bhanu Teja Vankayalapati;Rahman Sajadi;Bilal Akin

IEEE Transactions on Vehicular Technology
Year: 2023 | Volume: 72, Issue: 10 | Journal Article |
Cited by: Papers (15)
AC power cycling tests allow the most realistic reliability assessment by applying close to real stress to the device or module under test to meet functional safety standards, which is highly critical for traction applications. This article presents a comprehensive guideline and shares critical know-how to develop a 120 KVA AC power cycling test setup for high-power Silicon Carbide (SiC) modules. ...Show More

AC Power Cycling Test Setup and Condition Monitoring Tools for SiC-Based Traction Inverters

Masoud Farhadi;Bhanu Teja Vankayalapati;Rahman Sajadi;Bilal Akin

Year: 2023 | Volume: 72, Issue: 10 | Journal Article |

A Comprehensive Interturn Fault Severity Diagnosis Method for Permanent Magnet Synchronous Motors Based on Transformer Neural Networks

Farbod Parvin;Jawad Faiz;Yuan Qi;Ahmad Kalhor;Bilal Akin

IEEE Transactions on Industrial Informatics
Year: 2023 | Volume: 19, Issue: 11 | Journal Article |
Cited by: Papers (20)
This article proposes a novel deep learning (DL)-based interturn short-circuit fault (ISCF) severity diagnosis method using the transformer neural network (TNN). The input features are the currents in alpha–beta reference frame while the outputs are the number of shorted turns and short-circuit (SC) current amplitude. By only monitoring the stator currents, this method provides a comprehensive ove...Show More

A Comprehensive Interturn Fault Severity Diagnosis Method for Permanent Magnet Synchronous Motors Based on Transformer Neural Networks

Farbod Parvin;Jawad Faiz;Yuan Qi;Ahmad Kalhor;Bilal Akin

Year: 2023 | Volume: 19, Issue: 11 | Journal Article |

Online Stator Inter-Turn Short Circuit Estimation and Fault Management in Permanent Magnet Motors

Kudra H. Baruti;Chen Li;Feyzullah Erturk;Bilal Akin

IEEE Transactions on Energy Conversion
Year: 2023 | Volume: 38, Issue: 2 | Journal Article |
Cited by: Papers (18)
This paper presents an online short circuit current amplitude estimation solution for permanent magnet synchronous motors (PMSM) with Inter-Turn Short Circuit (ITSC) fault in their stator winding. Short circuit current estimation amplitude is one of the most critical parameters while making critical decisions for the post-fault operations. Once the fault is detected, it is essential to control it ...Show More

Online Stator Inter-Turn Short Circuit Estimation and Fault Management in Permanent Magnet Motors

Kudra H. Baruti;Chen Li;Feyzullah Erturk;Bilal Akin

Year: 2023 | Volume: 38, Issue: 2 | Journal Article |

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