Neuro-fuzzy Takagi Sugeno observer for fault diagnosis in wind turbines

被引：0

作者：

Perez-Perez, Esvan-Jesus ^{[1
,2
]}

Puig, Vicenc ^{[1
]}

Lopez-Estrada, Francisco-Ronay ^{[2
]}

Valencia-Palomo, Guillermo ^{[3
]}

Santos-Ruiz, Ildeberto ^{[2
]}

机构：

[1] Univ Politecn Cataluna, CSIC, Inst Robot & Informat Ind, Parc Tecnol Barcelona,C Llorens & Artigas 4-6, Barcelona 08028, Spain

[2] Tecnol Nacl Mexico, TURIX Dynam Diag & Control Grp, Inst Tecnol Tuxtla Gutierrez, Carretera Panamer Km 1080, Tuxtla Gutierrez 29050, Mexico

[3] Tecnol Nacl Mexico, IT Hermosillo, Ave Tecnol 115, Hermosillo 83170, Sonora, Mexico

来源：

IFAC PAPERSONLINE | 2023年 / 56卷 / 02期

关键词：

Fault diagnosis; MANFIS; Artificial neural networks; wind turbines; Takagi Sugeno observers;

D O I：

10.1016/j.ifacol.2023.10.1508

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work proposes a method for fault diagnosis based on Takagi Sugeno (TS) observers and convex models identified with a multioutput adaptive neuro-fuzzy inference system (MANFIS) derived from structural analysis. A bank of zonotopic TS observers is implemented to detect sensors and actuators faults. Unlike other works that require data from fault scenarios to train the MANFIS neural network, only fault-free data are considered. In addition, uncertainty related to aerodynamic loads and measurement noise is considered for testing the proposed method's robustness. The method performance is evaluated using measurements from a 5 MW wind turbine benchmark.

引用

页码：3522 / 3527

页数：6

共 50 条

[1] Fault Diagnosis in Planar Array Antenna using Takagi-Sugeno type Neuro-Fuzzy Model
Gehani, Aarti
Pujara, Dhaval
[J]. 2015 IEEE APPLIED ELECTROMAGNETICS CONFERENCE (AEMC), 2015,
[2] Model-based fault diagnosis of wind turbines built on Takagi-Sugeno fuzzy observers
Krokavec, Dusan
Filasova, Anna
[J]. PROCEEDINGS OF THE 10TH INTERNATIONAL SCIENTIFIC SYMPOSIUM ON ELECTRICAL POWER ENGINEERING (ELEKTROENERGETIKA 2019), 2019, : 377 - 382
[3] Takagi-Sugeno Sliding Mode Observer with a Weighted Switching Action and Application to Fault Diagnosis for Wind Turbines
Georg, Soeren
Schulte, Horst
[J]. INTELLIGENT SYSTEMS IN TECHNICAL AND MEDICAL DIAGNOSTICS, 2014, 230 : 41 - 52
[4] Actuator Fault Diagnosis and Fault-Tolerant Control of Wind Turbines using a Takagi-Sugeno Sliding Mode Observer
Georg, Soeren
Schulte, Horst
[J]. 2013 2ND INTERNATIONAL CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL), 2013, : 516 - 522
[5] Fault diagnosis in wind turbines based on ANFIS and Takagi-Sugeno interval observers
Perez-Perez, Esvan-Jesus
Lopez-Estrada, Francisco-Ronay
Puig, Vicenc
Valencia-Palomo, Guillermo
Santos-Ruiz, Ildeberto
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2022, 206
[6] Fault-Tolerant Control of Wind Turbines using a Takagi-Sugeno Sliding Mode Observer
Georg, Soeren
Schulte, Horst
[J]. SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014), 2014, 524
[7] Fault diagnosis observer for descriptor Takagi-Sugeno systems
Lopez-Estrada, F. R.
Theilliol, D.
Astorga-Zaragoza, C. M.
Ponsart, J. C.
Valencia-Palomo, G.
Camas-Anzueto, J.
[J]. NEUROCOMPUTING, 2019, 331 : 10 - 17
[8] Diagnosis of Actuator Parameter Faults in Wind Turbines Using a Takagi-Sugeno Sliding Mode Observer
Georg, Soeren
Schulte, Horst
[J]. INTELLIGENT SYSTEMS IN TECHNICAL AND MEDICAL DIAGNOSTICS, 2014, 230 : 29 - 40
[9] Takagi-Sugeno Fuzzy Model Based Fault Estimation and Signal Compensation With Application to Wind Turbines
Liu, Xiaoxu
Gao, Zhiwei
Chen, Michael Z. Q.
[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (07) : 5678 - 5689
[10] Takagi-Sugeno Sliding Mode Observer Design for Load Estimation and Sensor Fault Detection in Wind Turbines
Schulte, Horst
Zajac, Michal
Georg, Soeren
[J]. 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2012,

← 1 2 3 4 5 →