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Study of IPMSM Interturn faults Part II: Online fault parameter estimation

IEEE TRANSACTIONS ON POWER ELECTRONICS 2016年第10期31卷 7214-7223页

作者： Gu, Bon-Gwan Kyungpook Natl Univ Sch Energy Engn Daegu 702701 South Korea

This paper is a continuation of part I, which presented interturn fault (ITF) models for interior permanent magnet synchronous motors (IPMSMs). ITFs are defined by two ITF parameters: the healthy turn ratio and the fault contact resistance. First, this paper presents a proof that the two fault parameters defining a given ITF condition cannot be individually estimated from motor information and drive information (applied voltage, phase current, rotor speed, etc.) because they have multiple solutions. However, it is also shown that the additional Ohmic loss, which is the most important factor in heat generation and deterioration due to ITFs, is not dependent on these solutions. Thus, after arbitrarily setting one fault parameter, the other can be estimated for a given ITF condition;this model can be used to represent the effect of an ITF, particularly its Ohmic power loss. In this paper, an online fault parameter estimation method for IPMSMs is proposed after presenting one of the two fault parameters. The proposed method utilizes a searching algorithm that finds the fault parameter that has the minimum negative-sequence voltage error between the applied voltage and the ITF models (presented in part I). An experiment was performed to verify the proposed fault parameter estimation method.

关键词： fault parameter estimation inter-turn fault (ITF) motor fault detection motor fault-tolerant control

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Robust State estimation for Positive Real Infinite-Dimensional Systems With Actuator and Sensor faults

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IEEE SYSTEMS JOURNAL 2021年第4期15卷 4887-4894页

作者： Xu, Xiaodong Dubljevic, Stevan Univ Texas Austin McKetta Dept Chem Engn Austin TX 78712 USA Univ Alberta Dept Chem & Mat Engn Edmonton AB T6G 2G6 Canada

In this article, we propose a novel framework on the state estimation for a class of positive real infinite-dimensional systems, which suffer from unknown actuator and sensor faults and uncertain exogenous disturbance. Four cases of fault occurrence are taken into account: single multiplicative actuator fault, single multiplicative sensor fault, simultaneous actuator and sensor faults, and single actuator fault with a dead-zone nonlinearity. We develop new adaptive laws for the estimation of fault parameters and embed the proposed laws into the infinite dimensional state observer design. Moreover, by considering the actuator fault with a dead-zone nonlinearity, an infinite dimensional observer associated with coupled parameter update laws is developed to help to complete the fault accommodation. This is achieved by reconfiguring the actuator input based on the estimated information of parameters in the actuator fault map with a dead-zone nonlinearity.

关键词： Actuators Observers fault detection Servers Hilbert space Distributed parameter system fault parameter estimation infinite dimensional observer design positive real infinite-dimensional system

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A comparative study of data-driven and physics-based gas turbine fault recognition approaches

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY 2021年第4期235卷 591-609页

作者： Perez-Ruiz, Juan Luis Loboda, Igor Gonzalez-Castillo, Ivan Pineda-Molina, Victor Manuel Rendon-Cortes, Karen Anaid Miro-Zarate, Luis Angel Univ Nacl Autonoma Mexico Unidad Alta Tecnol Juriquilla Queretaro Mexico Inst Politecn Nacl Escuela Super Ingn Mecan & Elect Unidad Culhuacan Mexico City DF Mexico

The present paper compares the fault recognition capabilities of two gas turbine diagnostic approaches: data-driven and physics-based (a.k.a. gas path analysis, GPA). The comparison takes into consideration two differences between the approaches, the type of diagnostic space and diagnostic decision rule. To that end, two stages are proposed. In the first one, a data-driven approach with an artificial neural network (ANN) that recognizes faults in the space of measurement deviations is compared with a hybrid GPA approach that employs the same type of ANN to recognize faults in the space of estimated fault parameter. Different case studies for both anomaly detection and fault identification are proposed to evaluate the diagnostic spaces. They are formed by varying the classification, type of diagnostic analysis, and deviation noise scheme. In the second stage, the original GPA is reconstructed replacing the ANN with a tolerance-based rule to make diagnostic decisions. Here, two aspects are under analysis: the comparison of GPA classification rules and whole approaches. The results reveal that for simple classifications both spaces are equally accurate for anomaly detection and fault identification. However, for complex scenarios, the data-driven approach provides on average slightly better results for fault identification. The use of a hybrid GPA with ANN for a full classification instead of an original GPA with tolerance-based rule causes an increase of 12.49% in recognition accuracy for fault identification and up to 54.39% for anomaly detection. As for the whole approach comparison, the application of a data-driven approach instead of the original GPA can lead to an improvement of 12.14% and 53.26% in recognition accuracy for fault identification and anomaly detection, respectively.

关键词： Gas turbine diagnostics fault recognition data-driven approach physics-based approach fault parameter estimation gas path analysis

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Analysis and Diagnosis of the Stator Turn-to-Turn Short-Circuit faults in Wound-Rotor Synchronous Generators

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ENERGIES 2025年第9期18卷 2395-2395页

作者： Mao, Haotian Khorasani, Khashayar Guo, Yingqing Northwestern Polytech Univ Sch Power & Energy Xian 710072 Peoples R China Concordia Univ Dept Elect & Comp Engn Montreal PQ H3G 1M8 Canada

In this paper, we introduce a health parameter and estimation algorithm to assess the severity of stator turn-to-turn/inter-turn short-circuit (TTSC) faults in wound-rotor synchronous generators (WRSG). Our methodology establishes criteria for evaluating the severity of stator TTSC faults in WRSG and provides a specific solution for estimating both the severity of these faults and the resultant power loss. Our assessment methodology directly reflects the intrinsic impact of stator TTSC faults on the WRSG, offering enhanced efficiency, accuracy, and resilience to interference compared with traditional methods in estimating and gauging the TTSC severity. First, we demonstrate that it is impossible to determine the two fault parameters of the WRSG stator TTSC faults solely based on the voltage and current measurements. Subsequently, we introduce a novel health parameter for the WRSG stator TTSC faults and show that for a given generator and load, the dynamics of voltage and current during these faults as well as the resulting power loss are determined by this health parameter. We then detail the characteristics of the proposed health parameter and criteria for evaluating the severity of the WRSG stator TTSC faults. Furthermore, we present an estimation algorithm that is capable of accurately estimating the health parameter and power loss, demonstrating its minimal estimation error. Finally, we provide a comprehensive set of simulation results, including Monte Carlo results, to validate our proposed methodology and illustrate that our approach offers significant improvements in terms of the efficiency, accuracy, and robustness of the WRSG stator TTSC fault detection and isolation (FDI) over conventional methods.

关键词： fault diagnosis health parameter fault parameter estimation turn-to-turn short-circuit (TTSC) wound-rotor synchronous generator (WRSG) fault detection and isolation (FDI)

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Detection of a fatigue crack in a rotor system using full-spectrum based estimation

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SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES 2016年第2期41卷 239-251页

作者： Shravankumar, C. Tiwari, Rajiv Indian Inst Technol Guwahati Dept Mech Engn Gauhati 781039 India

The force due to crack switching has multiple harmonic components of the spin speed. These components excite the rotor both in the same and reverse directions of the rotor spin. A full-spectrum method using complex Fast Fourier transform equations is developed to obtain force coefficients and displacement coefficients (forward and reverse). These coefficients are then used as an input to developed identification algorithms. fault parameters identified are the additive stiffness due to crack, disc eccentricity due to unbalance, and system viscous damping. An extended algorithm estimates the crack forces. The algorithms are numerically tested.

关键词： Switching crack model-based identification full-spectrum fault parameter estimation switching crack forces

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fault severity estimation using nonlinear Kalman filter for induction motors under inter-turn fault 42

Fault severity estimation using nonlinear Kalman filter for ...

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42nd Conference of the Industrial Electronics Society, IECON 2016

作者： Nguyen, Viethung Wang, Danwei Seshadrinath, Jeevanand Nadarajan, Sivakumar Vaiyapuri, Viswanathan Rolls-Royce at NTU Corporate Lab C/o School of Electrical and Electronic Engineering Nanyang Technological University Singapore Singapore Advanced Technology Centre Rolls-Royce Singapore Pte. Ltd. Singapore Singapore

ISBN: (纸本)9781509034741

fault severity estimation is an important part in condition-based maintenance, by which a right time and suitable maintenance policy can be planned. For stator winding inter-turn short circuit fault, its severity is represented by two parameters, percentage of shorted turns and fault loop resistance. Research on severity estimation of this fault has been focused on late stage of the fault development process, when the estimation of only one parameter, percentage of shorted turns, is required. As an attempt to overcome this, this paper proposes a method to estimate both parameters employing nonlinear Kalman filter using an equality constraint on them. The constraint is derived from a sequence component model analysis. The estimation of both fault parameters helps track the degradation process from its incipient stage. © 2016 IEEE.

关键词： fault parameter estimation Induction motor Nonlinear Kalman filter Sequence component model Winding inter-turn fault

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fault-DETECTION AND DIAGNOSIS IN PROPULSION SYSTEMS - A REAL-TIME IDENTIFICATION APPROACH

FAULT-DETECTION AND DIAGNOSIS IN PROPULSION SYSTEMS - A REAL...

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SYMP ON fault DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESS ( SAFEPROCESS 91 )

作者： DUYAR, A ELDEM, V Florida Atlantic Univ Boca Raton FL United States

This paper presents the development of a fault detection and diagnosis (FDD) system with applications to the space shuttle main engine. The FDD utilizes a model based method with real time identification and hypothesi... 详细信息

ISBN: (纸本)0080412750

关键词： fault DETECTION fault DIAGNOSIS fault parameter estimation fault CLASSIFICATION REAL TIME IDENTIFICATION HYPOTHESIS TESTING

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fault Detection and Diagnosis in Propulsion Systems;A Real Time Identification Approach

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IFAC Proceedings Volumes 1991年第6期24卷 473-478页

作者： A. Duyar V. Eldem Mechanical Engineering Department Florida Atlantic University Boca Raton FL 33431 USA

关键词： fault detection fault diagnosis fault parameter estimation fault classification real time identification hypothesis testing

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