Abstract
Background
Currently, the challenges of sustainable development in the operational safety of industrial systems continue to grow and increase, given the increasing complexity of these industrial installations. Through the recurrent development of better competitive performance in terms of quality, productivity, flexibility, robustness, and environmental impacts, which is essential in order to offer even more suitable and more accurate solutions to monitoring issues.
Methods
In order to avoid the dangers that may arise because of the risks and dysfunctional faults of these systems, these risks require mastery of the monitoring systems inherent in this equipment. This work proposes an original approach to gas turbine monitoring, based on the concept of fuzzy logic, with practical implementations of this diagnosis strategy for vibration faults of this rotating machine.
Results
The proposed approach makes it possible to monitor the efficiency of the studied gas turbine in real-time and for substantial and substantive improvement in the operation of this turbine and to achieve the objectives in terms of operational safety and in terms of solutions' costs implemented for this type of machine. To this end, first fuzzy models associated with real behavior models of the examined turbine variables are developed, to identify and model the gas turbine dynamics used in a gas transport facility at Hassi R'Mel in southern Algeria, based on a fuzzy approach using experimental operating data from the rotating machine, in order to approximate the variables of this nonlinear system in the form of fuzzy rules and variables. Then, the fault diagnosis strategy of this turbine based on the generation of fault residues is carried out and tested in the presence and absence of disturbances, to validate the effectiveness of this fuzzy approach in terms of sensitivity and robustness of detection, location, and identification of faults.
Conclusion
This work shows the efficiency and robustness of the fuzzy gas turbine faults detection strategy and improves the operation of this turbine. Likewise, has increased turbine work time, minimized downtime, and reduced the frequency of unscheduled downtime of this rotating machine.
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References
Benyounes A, Hafaifa A, Guemana M (2016) Gas turbine modelling based on fuzzy clustering algorithm using experimental data. J Appl Artif Intell Taylor Francis 30(1):29–51
Ye D, Li X (2020) Event-triggered fault detection for continuous-time networked polynomial-fuzzy-model-based systems. Appl Math Comput 366:124729
Alaei HK, Salahshoor K, Alaei HK (2013) A new integrated on-line fuzzy clustering and segmentation methodology with adaptive PCA approach for process monitoring and fault detection and diagnosis. Soft Comput 17:345–362
Sawaqed LS, Alrayes AM (2020) Bearing fault diagnostic using machine learning algorithms. Prog Artif Intell 9:341–350
Rahmoune MB, Hafaifa A, Kouzou A, Chen XQ, Chaibet A (2021) Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling. Math Comput Simul 179:23–47
Wang Y, Zheng L, Zhang H, Xie X (2018) Event-triggered fault detection filter design for nonlinear networked systems via fuzzy Lyapunov functions. J Franklin Inst 355(17):8392–8411
Kiaee M, Tousi AM (2021) Vector-based deterioration index for gas turbine gas-path prognostics modeling framework. Energy 216:119198
Zhijun Li, Tianyu Z, Haijiang K, Hui Z, Huiqun Y (2021) Vibration characteristics of multi-stage blade–disk–shaft integrated structure with three-dimensional crack. J Vib Eng Technol 9:597–611
Hao Z, Xianghe Y, Qingkai H, Hai H (2019) Dynamic behaviors of geared rotor system in integrally centrifugal compressor. J Vib Eng Technol 7:241–249
Djeddi C, Hafaifa A, Iratni A, Hadroug N, Chen XQ (2021) Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach. J Manuf Syst 59:190–213
Liu J, Wang C, Luo Z (2021) High dimensional nonlinear spring characteristic modelling and vibration analyses of subharmonic resonance of a dual-rotor system based on energy tracks. Appl Math Model 91:390–411
Lihong Y, Ouyang H, Yang Y, Cao D, Wang K (2020) Vibration analysis of a dual-rotor-bearing-double casing system with pedestal looseness and multi-stage turbine blade-casing rub. Mech Syst Signal Processing 143:106845
Zhou D, Huang D, Hao J, Wu H, Chang C, Zhang H (2021) Fault diagnosis of gas turbines with thermodynamic analysis restraining the interference of boundary conditions based on STN. Int J Mech Sci 191:106053
Silva A, Zarzo A, González JMM, Munoz-Guijosa JM (2020) Early fault detection of single-point rub in gas turbines with accelerometers on the casing based on continuous wavelet transform. J Sound Vib 487:115628
Zhou D, Wei T, Huang D, Li Y, Zhang H (2020) A gas path fault diagnostic model of gas turbines based on changes of blade profiles. Eng Failure Anal 109:104377
Dongsheng Du, Yang Y, Zhao H, Tan Y (2020) Robust fault diagnosis observer design for uncertain switched systems. Int J Control Autom Syst 18:3159–3166
Wang J, He S, Luan X, Liu F (2020) Fuzzy fault detection of conic-type nonlinear systems within the finite frequency domain. Appl Math Comput 378:125181
Yu K, Zou H, Zeng X, Li Y, Li H, Zhuo C, Wang Z (2021) Faulty feeder detection of single phase-earth fault based on fuzzy measure fusion criterion for distribution networks. Int J Electr Power Energy Syst 125:106459
Kowal M, Korbicz J (2007) Fault detection under fuzzy model uncertainty. Int J Autom Comput 4:117–124
Montazeri-Gh M, Yazdani S (2020) Application of interval type-2 fuzzy logic systems to gas turbine fault diagnosis. Appl Soft Comput 96:106703
Li R, Yang Y (2020) Fault detection for T-S fuzzy singular systems via integral sliding modes. J Franklin Inst 357(17):13125–13143
Sun S, Zhang H, Han J, Gao Z (2021) Multiple delay-dependent noise-to-state stability for a class of uncertain switched random nonlinear systems with intermittent sensor and actuator faults. Appl Intell 51:265–282
Gundewar SK, Kane PV (2021) Condition monitoring and fault diagnosis of induction motor. J Vib Eng Technol 9:643–674
Islam SI, Lim C-C, Shi P (2020) Robust fault detection of T-S fuzzy systems with time-delay using fuzzy functional observer. Fuzzy Sets Syst 392:1–23
Djeddi AZ, Hafaifa A, Guemana M, Kouzou A (2020) Gas turbine reliability modelling based on a bath shaped rate failure function: modified Weibull distribution validation. Life Cycle Reliab Saf Eng 9:437–448
Alili B, Hafaifa A, Guemana M, Mazouz L (2020) Decision making for a sustainable and rentable maintenance of a TORNADO gas turbine based on fuzzy logic concept. J Vib Test Syst Dyn 4(2):147–162
Suo M, Cheng Y, Zhuang C, Ding Y, Lu C, Tao L (2020) Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision. Neural Comput Appl 32:17731–17758
Guemana M, Hafaifa A, Rahmoune MB (2015) Reliability study of gas turbines for improving their availability by ensuring optimal exploitation. Oil Gas Eur Mag 2:88–89
Hadroug N, Hafaifa A, Abdellah K, Chaibet A (2017) Dynamic model linearization of two shafts gas turbine via their input/output data around the equilibrium points. Energy 120:488–497
Agh SM, Pirkandi J, Mahmoodi M, Jahromi M (2020) Development of a novel rotary flow control valve with an electronic actuator and a pressure compensator valve for a gas turbine engine fuel control system. Flow Meas Instrum 47:101759
Alili B, Hafaifa A, Iratni A (2020) Faults detection based on fuzzy concepts for vibrations monitoring in gas turbine. Diagnostyka 21(4):67–77
Hadroug N, Hafaifa A, Batel N, Abdellah K, Chaibet A (2018) Active fault tolerant control based on a neuro fuzzy inference system applied to a two shafts gas turbine. J Appl Artif Intell 32(6):515–540
Yazdani S, Montazeri-Gh M (2020) A novel gas turbine fault detection and identification strategy based on hybrid dimensionality reduction and uncertain rule-based fuzzy logic. Comput Ind 115:103131
Guo S, Zhu F, Zhang W, Żak SH, Zhang J (2018) Fault detection and reconstruction for discrete nonlinear systems via Takagi-Sugeno fuzzy models. Int J Control Autom Syst 16:2676–2687
Lv B, Jin X, Cao J, Baosheng Xu, Wang Y, Fang D (2020) Advances in numerical modeling of environmental barrier coating systems for gas turbines. J Eur Ceram Soc 40(9):3363–3379
Li J, Ying Y (2020) Gas turbine gas path diagnosis under transient operating conditions: A steady state performance model based local optimization approach. Appl Thermal Eng 170:115025
Ajvad M, Shih H-Y (2020) Modeling syngas combustion performance of a can combustor with rotating casing for an innovative micro gas turbine. Int J Hydrogen Energy 45(55):31188–31201
Benrahmoune M, Hafaifa A, Guemana M, Chen XQ (2018) Detection and modeling vibrational behavior of a gas turbine based on dynamic neural networks approach. J Mech Eng 68(3):143–166
Mousavinia M, Bahrami A, Rafiaei SM, Rajabinezhad M, Taghian M, Seyedi SJ (2020) Root cause analysis of failure of bolts in the low-pressure section of a gas turbine in an oil and gas production plant. Eng Failure Anal 115:104675
Hafaifa A, Guemana M, Daoudi A (2015) Vibration supervision in gas turbine based on parity space approach to increasing efficiency. J Vib Control 21:1622–1632
Sharma A, Sadeghi F, Sharma A (2020) Experimental investigation of fretting wear of coated spring clip and inlet ring in land-based gas turbines at elevated temperature. Wear 446/447:203200
González-Cantos A, Lopez MJ, Ollero A (2020) Analysis of unstable behavior of planing craft speed using the qualitative theory of dynamical systems. Nonlinear Dyn 102:2363–2383
Tang G, Chen B, Zhang M, Guo Q (2020) On-orbit modal identification for vibration suppression of flexible aerospace structure using reaction wheel actuator. Aerosp Sci Technol 107:106250
Alonso S, Morán A, Pérez D, Prada MA, Díaz I, Domínguez M (2020) Estimating cooling production and monitoring efficiency in chillers using a soft sensor. Neural Comput Appl 32:17291–17308
Jia X, He L, Zhang H (2020) Effect of turbine rotor disc vibration on hot gas ingestion and rotor-stator cavity flow. Aerosp Sci Technol 98:105719
Lal M (2021) Modeling and estimation of speed dependent bearing and coupling misalignment faults in a turbine generator system. Mech Syst Sig Process 151:107365
Bornassi S, Ghalandari M, Faghfoor SM (2020) Blade synchronous vibration measurements of a new upgraded heavy duty gas turbine MGT-70(3) by using tip-timing method. Mech Res Commun 104:103484
Liu W, Bättig P, Wagner PH, Schiffmann J (2021) Nonlinear study on a rigid rotor supported by herringbone grooved gas bearings: theory and validation. Mech Syst Sig Process 146:106983
Naung SW, Rahmati M, Farokhi H (2021) Direct numerical simulation of interaction between transient flow and blade structure in a modern low-pressure turbine. Int J Mech Sci 192:106104
Zhou X, Lu F, Zhou W, Huang J (2020) An improved multivariable generalized predictive control algorithm for direct performance control of gas turbine engine. Aerosp Sci Technol 99:105576
Basseville M (1997) Information criteria for residual generation and fault detection and isolation. Automatica 33(5):783–803
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Hadroug, N., Hafaifa, A., Alili, B. et al. Fuzzy Diagnostic Strategy Implementation for Gas Turbine Vibrations Faults Detection: Towards a Characterization of Symptom–fault Correlations. J. Vib. Eng. Technol. 10, 225–251 (2022). https://doi.org/10.1007/s42417-021-00373-z
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DOI: https://doi.org/10.1007/s42417-021-00373-z