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robustification of fault detection algorithm in a three-phase induction motor using MCSA for various single and multiple faults

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IET ELECTRIC POWER APPLICATIONS 2021年第5期15卷 593-615页

作者： Kompella, K. C. Deekshit Rongala, Naga Sreenivasu Rayapudi, Srinivasa Rao Mannam, Venu Gopala Rao SNIST EEE Dept Hyderabad India IRSEE Southern Railways Tamil Nadu India JNTUK Dept Elect Engn Kakinada India PVPSIT Dept EEE Vijayawada India

Fault diagnosis in induction machines, particularly at a premature stage, has become necessary to avoid unexpected interruption of the industrial process. Moreover, a reliable and cost-effective fault detection process is highly essential to avoid inappropriate shut down of the machine. Thus, a critical comparison is done between two popular pre-fault component cancellation techniques and a reliability test is performed to develop a robust algorithm for fault diagnosis in three-phase induction motor. To achieve this, various single and multiple faults experienced by induction motor are created and tested to examine the effectiveness of developed algorithm. Evaluation of the proposed topology based on motor current signature analysis is done by repeating the process for several times and tested for consistency. As a part of this, various feature extraction parameters are computed and compared to identify the best estimate of fault and its seriousness. The proposed technique is examined in MATLAB and LabVIEW environment and experiments on a three-phase, 1.5-kW induction motor.

关键词： fault diagnosis popular pre-fault component cancellation techniques reliable cost-effective fault detection process industrial process power 1.5 kW premature stage robust algorithm induction motors machine testing induction machines motor current signature analysis feature extraction Asynchronous machines fault detection algorithm Reliability reliability test single faults MCSA reliability three-phase induction motor

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A fuzzy paradigmatic clustering algorithm

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IFAC-PapersOnLine 2019年第13期52卷 2360-2365页

作者： Amirjavid, Farzad Barak, Sasan Nemati, Hamidreza Edward S. Rogers Department of Electrical and Computer Engineering University of Toronto Toronto Canada Department of Management Science Lancaster University Management School Lancaster United Kingdom Engineering Department Lancaster University Lancaster United Kingdom

Clustering algorithms resume the datasets into few number of data points such as centroids or medoids, which explain the entire dataset briefly. In the domain of data-driven machine learning, the more precision with the clustering rule leads directly to more precise classification, prediction, and recognition. We propose an efficient clustering method, which applies the paradigms - mainly 3D Gaussian model - to estimate the optimum cluster number, cluster border, and congestion coordinates to model the datasets of the natural distributions. This approach considers both qualitative and quantitative features of the dataset and calculates the best scale to analyze it. We used fuzzy logic to compare the models with data, to generate and rank the hypotheses, and finally to reject or accept the assumptions. The proposed approach which is called Fuzzy Gaussian Paradigmatic Clustering (FGPC) algorithm is used as the basis of a fast (with the complexity order of O(n)) and robust algorithm for identifying fuzzy models. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Clustering algorithms 3D modeling Cluster analysis Computer circuits Fuzzy logic Gaussian distribution Cluster numbers Clustering methods Clustering rules Complexity orders Natural distribution Paradigmatic clustering Quantitative features robust algorithm

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Verification of the Relative Distance Measurement Method for Pico-satellites in Constellation

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IFAC-PapersOnLine 2018年第12期51卷 100-105页

作者： Nebylov, A. Padron, A. Medina Knyazhsky, A. State University of Aerospace Instrumentation 67 Bolshaya Morskaya Saint-Petersburg190000 Russia Polytechnique de Montréal Département Génie électrique 2900 Edouard-Monpetit MontrealQCH3T 1J4 Canada

This paper considers the optical relative navigation method for the small satellites, describes the algorithms of the image processing and calculating the relative distance and orientation. Different methods and approaches exist but need to be adapted or improved based on robust algorithms for both detection and range of multiple space crafts. Originality of the solution is to extend optical with image processing and vision algorithms to space relative navigation, some experimental and preliminary results are also reported at the article. © 2018

关键词： Image processing Optical data processing Satellites Motion parameters pico satellited Relative distances Relative motion Relative navigation robust algorithm Vision algorithms

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algorithm for the Wigner distribution of noisy signals realisation

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ELECTRONICS LETTERS 1998年第7期34卷 622-624页

作者： Stankovic, LJ Ruhr Univ Bochum Signal Theory Grp D-44780 Bochum Germany

A simple robust algorithm which efficiently represents signals with a very high amount of noise is presented, according to the expressions for the mean, variance and the optimal window width of the Wigner distribution... 详细信息

关键词： time-varying filters filtering theory noise interference (signal) noisy signals representation Information theory Other topics in statistics Signal processing and detection time-varying filtering robust algorithm signal representation Wigner distribution

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Online assessment of voltage stability using Newton-Corrector algorithm

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IET GENERATION TRANSMISSION & DISTRIBUTION 2020年第19期14卷 4207-4216页

作者： Ali, Mazhar Gryazina, Elena Khamisov, Oleg Sayfutdinov, Timur Skolkovo Inst Sci & Technol Ctr Energy Syst Moscow 143026 Russia

The real-time robust and secure operation of power systems has become a challenging task, as the operating state evolves rapidly due to uncertainties associated with increasing renewable generation, less predictable loads, and various forms of contingencies. Therefore, an online voltage stability assessment is required to avoid any undesirable system behaviours or a large-scale blackout. Such evaluation is not just difficult but also computationally intensive mainly due to the continuously changing state of a grid. This study presents a numerically robust and fast algorithm for online voltage stability assessment with ease of implementation and programming. The proposed approach updates distance of voltage collapse in real-time by incorporating base-case collapse point solution and incoming data from measurement devices. Implementation of the proposed algorithm is described in detail, and its performance is validated on different IEEE test cases.

关键词： power system stability power system security load flow power system reliability Newton method online assessment power systems online voltage stability assessment robust algorithm voltage collapse Newton-corrector algorithm renewable generation large-scale blackout IEEE test cases

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Detecting synchrophasors computed over fault/switching transients

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IET GENERATION TRANSMISSION & DISTRIBUTION 2014年第9期8卷 1616-1625页

作者： Das, Sarasij Sidhu, Tarlochan Univ Western Ontario London ON Canada Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON Canada

Faults and switching operations often cause step changes in voltage and current waveforms. A fault/switching transient synchrophasor is computed over a window of pre- and post-fault/switching samples. Many synchrophasor applications are not designed to use these transient synchrophasors. So, there is a need to detect fault/switching transient synchrophasors. A robust algorithm is proposed to detect synchrophasors computed over switching/fault transients. The proposed algorithm runs in phasor measurement unit. The proposed algorithm performs satisfactorily in the presence of noises, harmonics, off nominal frequencies, decaying DC and missing/bad samples. The proposed algorithm can detect fault/switching transient synchrophasors caused by smaller or larger disturbances. The proposed algorithm is simple, non-iterative and mainly needs additions. Possible applications of the proposed algorithm are also discussed.

关键词： robust algorithm Electric and magnetic variables measurement fault-switching transient synchrophasor Power system measurement and metering current waveform synchrophasors detection voltage waveform phasor measurement

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Source Localization by a Partially Calibrated Array in an Uncertain Transmission Channel

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ACOUSTICAL PHYSICS 2018年第1期64卷 91-98页

作者： Sazontov, A. G. Smirnov, I. P. Russian Acad Sci Inst Appl Phys Nizhnii Novgorod 603600 Russia Lobachevsky State Univ Nizhny Novgorod Nizhnii Novgorod 603022 Russia

A robust Capon-type algorithm is constructed for source localization by a partially calibrated array operating in an uncertain environment. Results of statistical modeling are presented to determine the accuracy of source localization and the probability of correct source detection. Experimental testing of the proposed method is carried out to demonstrate its performance in Ladoga Lake.

关键词： source localization partially calibrated subarray-based array robust algorithm statistical modeling experimental testing

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Modified Backstepping algorithm with Disturbances Compensation

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IFAC-PapersOnLine 2015年第11 11期48卷 1056-1061页

作者： Furtat, Igor Furtat, Elena Tupichin, Evgeny A. Institute for Problems of Mechanical Engineering Russian Academy of Sciences 61 Bolshoy ave V.O. Saint Petersburg199178 Russia ITMO University 49 Kronverkskiy ave Saint Petersburg197101 Russia

The paper describes the robust algorithm for compensation of mismatched disturbances. The synthesis of control system based on a backstepping algorithm and an auxiliary loop algorithm. The proposed algorithm guarantees that the plant state vector tends to the zero with the required accuracy. We also compare the proposed algorithm with the backstepping algorithm and the auxiliary loop algorithm. The simulation results illustrate the efficiency and robustness of the suggested control system. © 2015

关键词： Backstepping Control system synthesis Auxiliary loops Backstepping algorithms Mismatched disturbance Plant state vectors robust algorithm

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robust Rendezvous Planning Under Maneuver Execution Errors

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2015年第1期38卷 76-93页

作者： Louembet, Christophe Arzelier, Denis Deaconu, Georgia CNRS Lab Anal & Architectures Syst F-31400 Toulouse France

The problem of designing a rendezvous guidance maneuver plan robust to thrusting errors is addressed in this paper. The aim of this paper is to develop tractable and robust guidance algorithms. Solving the rendezvous guidance problem via a direct approach leads to uncertain optimization problems while accounting for the guidance, navigation, and control systems uncertainties and errors. A worst-case approach is considered in order to obtain tractable robust counterparts. The robustness certificates derived from these guidance algorithms provide the means to analyze the effects of the considered errors on the rendezvous mission. Several types of missions tested in a linear environment are used to illustrate the methodology.

关键词： Rendezvous Guidance robust Guidance algorithm GNC Systems Linear Quadratic Regulator Pontryagin's Maximum Principle robust algorithm Numerical algorithms PROBA Nonlinear Dynamics Spacecraft Rendezvous

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robust computation of intersection graph between two solids

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COMPUTER GRAPHICS FORUM 1997年第3期16卷 C79-C88页

作者： Nakamura, H Higashi, M Hosaka, M Toyota Technological Institute 2-12-1 Hisakata Tempaku-ku Nagoya 468 Japan

We propose a new robust algorithm for Boolean operations on solid models. The algorithm produces a consistent intersection graph between two input solids whose geometrical data are represented in floating point numbers. In order to prevent numerical calculation errors and inaccuracy of input data from causing inconsistency of the output, we put higher priority on symbolical connectivity of the edge-face intersection points than their numerical nearness. Each edge-face intersection point is symbolically represented using face names, which generate connectivity relations between the intersection points and the intersection line segments. The symbols with the same connectivity are made into clusters. The intersection line segments connected together at their end clusters form the intersection graph of two solids. Inconsistency of the connectivity of the clusters is detected and the intersection graph is corrected automatically. We describe the algorithm in detail for polyhedral solids, discuss extension to curved solids, and show its effectiveness by some examples of Boolean operations for two solids whose faces intersect at a very small angle.

关键词： solid model Boolean operation robust algorithm

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