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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknik ITS IPTEK Journal of Proceedings Series Proceeding of the Electrical Engineering Computer Science and Informatics JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Journal of Robotics and Control (JRC) Sewagati
Katherin Indriawati
Departemen Teknik Fisika Institut Teknologi Sepuluh Nopember
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences

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Journal : IPTEK Journal of Proceedings Series

 1 
Fault Estimation on Induction Motor Based on Stator Inter-Turn Fault Bambang Lelono Widjiantoro; Syahrul Munir; Katherin Indriawati
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11148

Abstract

Since the 19th century, the use of electric motors continues to grow. Nowadays electric motors have been widely used in various fields of industry. One type of electric motor that is often used is an induction motor. Induction motors work in the presence of induced currents due to the relative difference in rotor rotation with rotating magnetic fields. Induction motors are preferred for industrial purposes because of low cost, easy to maintain, and high efficiency. Induction motors that are used continuously can experience several types of fault. The existence of fault can affect the performance of the induction motor. One of the fault that often occurs in induction motor is the result of stator inter-turn fault. This fault is caused by the gradual deterioration of insulation in the stator winding which cause a short-circuit. Sooner or later, this fault can cause damage to the induction motor in a short time if left unchecked. So, it is very important to monitor the fault in real-time. Therefore, this research proposes a fault estimation method on induction motor. The design of fault estimation based on particle filtering and extended state space equations is used to estimate the stator inter-turn fault. The effectiveness of this approach is validated by use of a computer simulation with using two fault signal represented by η_cc ramp and step signal. The performances of this fault estimation are measured by RMSE and with using 500 particles has smallest RMSE value, which are 0.0112 and 0.0124 for dq current fault when using η_cc ramp signal and 0.2373 and 0.2367 for dq current fault when using η_cc step signal.
Co-Authors Achmad Jazidie Akhmad Ibnu Hija Andri Haris Setyawan Aulia Siti Aisjah Bambang L. Widjiantoro Bambang L. Widjiantoro Bambang Lelono Widjiantoro Choirul Mufit Dea Faiza Febrianty Detak Yan Pratama Febry Pandu Wijaya Fikri Nurhidayat Gregorius Kevin Hanifa Hanifa Hanifa Ikma Lailatul Badriyah Ikma Lailatul Badriyah Kurnia Ma'rifatin Pebriningtyas Luthfansyah Mohammad Moh Kamalul Wafi Mohammad Harwin Prayoga Mohammad Kamalul Wafi Mohammad Kamalul Wafi Mohmmad Kamalul Wafi Muhammad Khamim Asyari Musyafa’, Ali Ontoseno Penangsang Ruri Agung Wahyuono Salma Qotrunnada Suyanto, Suyanto Syahrul Munir Syamsul Arifin Trihastuti Agustinah Tulus Indra Hermawan Yaumar Yaumar Ya’umar