Fault Detection Based on Validated Model of Data Filtering Based Recursive Least Squares Algorithm For Box-Jenkins Systems

被引：0
作者：
Shashoa, Nasar Aldian Ambark [1 ]
Abougarair, Ahmed J. [2 ]
机构：
[1] Libyan Acad, Elect & Comp Engn, Tripoli, Libya
[2] Univ Tripoli, Elect & Elect Engn, Tripoli, Libya
来源：
PROCEEDINGS OF 2021 GLOBAL CONGRESS ON ELECTRICAL ENGINEERING (GC-ELECENG 2021) | 2021年
关键词：
Box-Jenkins System; Fault Detection; Mean Square Errors; Model Validation; Recursive Least Squares; IDENTIFICATION;
D O I：
10.1109/GC-ELECENG52322.2021.9788358
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the data filtering based Recursive Least Squares algorithm (RLS) of linear Box-Jenkins systems is proposed for fault detection. The system is decomposed into two subsystems, one containing the parameters of the system model and the other containing the parameters of the noise model, and these parameters of the system model and the noise model are estimated. The model validation is tested using two statistical methods, histogram and mean square errors. The residual is generated based on the proposed algorithm to design the threshold and therefore, this design is used for fault detection. Simulation results are performed to illustrate the algorithm performance.
引用
收藏
页码：92 / 96
页数：5
相关论文
共 12 条
  • [1] [Anonymous], 2007, Introduction to Mathematical Systems Theory. Linear Systems
  • [2] Recursive Least Squares Identification Algorithms for Multiple-Input Nonlinear Box-Jenkins Systems Using the Maximum Likelihood Principle
    Chen, Feiyan
    Ding, Feng
    [J]. JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2016, 11 (02):
  • [3] Feng J, 2016, 4 INT C MACHINERY MA
  • [4] Refined instrumental variable methods for identification of LPV Box-Jenkins models
    Laurain, Vincent
    Gilson, Marion
    Toth, Roland
    Garnier, Hugues
    [J]. AUTOMATICA, 2010, 46 (06) : 959 - 967
  • [5] Data Filtering Based Recursive Least Squares Algorithm for Two-Input Single-Output Systems with Moving Average Noises
    Lu, Xianling
    Zhou, Wei
    Shi, Wenlin
    [J]. JOURNAL OF APPLIED MATHEMATICS, 2014,
  • [6] Shariff H., 2014, INT J OFREASEARCH TE, V03
  • [7] Residual Generator Fuzzy Identification for Wind Turbine Benchmark Fault Diagnosis
    Simani, Silvio
    Farsoni, Saverio
    Castaldi, Paolo
    [J]. MACHINES, 2014, 2 (04) : 275 - 298
  • [8] Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems
    Wang, Cheng
    Tang, Tao
    [J]. APPLIED MATHEMATICS LETTERS, 2014, 29 : 36 - 41
  • [9] Input-output data filtering based recursive least squares identification for CARARMA systems
    Wang, Dongqing
    Ding, Feng
    [J]. DIGITAL SIGNAL PROCESSING, 2010, 20 (04) : 991 - 999
  • [10] Recursive Least Squares Parameter Estimation Algorithms for a Class of Nonlinear Stochastic Systems With Colored Noise Based on the Auxiliary Model and Data Filtering
    Wang, Longjin
    He, Yan
    [J]. IEEE ACCESS, 2019, 7 : 181295 - 181304
12