A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic
The fault detection system using automated concepts is a crucial aspect of the industrial process. The automated system can contribute efficiently in minimizing equipment downtime therefore improving the production process cost. This paper highlights a novel model based fault detection (FD) approach...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/15/8/284 |
| _version_ | 1797432547016179712 |
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| author | Satyam Paul Rob Turnbull Davood Khodadad Magnus Löfstrand |
| author_facet | Satyam Paul Rob Turnbull Davood Khodadad Magnus Löfstrand |
| author_sort | Satyam Paul |
| collection | DOAJ |
| description | The fault detection system using automated concepts is a crucial aspect of the industrial process. The automated system can contribute efficiently in minimizing equipment downtime therefore improving the production process cost. This paper highlights a novel model based fault detection (FD) approach combined with an interval type-2 (IT2) Takagi–Sugeno (T–S) fuzzy system for fault detection in the drilling process. The system uncertainty is considered prevailing during the process, and type-2 fuzzy methodology is utilized to deal with these uncertainties in an effective way. Two theorems are developed; Theorem 1, which proves the stability of the fuzzy modeling, and Theorem 2, which establishes the fault detector algorithm stability. A Lyapunov stabilty analysis is implemented for validating the stability criterion for Theorem 1 and Theorem 2. In order to validate the effective implementation of the complex theoretical approach, a numerical analysis is carried out at the end. The proposed methodology can be implemented in real time to detect faults in the drilling tool maintaining the stability of the proposed fault detection estimator. This is critical for increasing the productivity and quality of the machining process, and it also helps improve the surface finish of the work piece satisfying the customer needs and expectations. |
| first_indexed | 2024-03-09T10:03:04Z |
| format | Article |
| id | doaj.art-039c40196c0b4b05bd00992674a5078b |
| institution | Directory Open Access Journal |
| issn | 1999-4893 |
| language | English |
| last_indexed | 2024-03-09T10:03:04Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj.art-039c40196c0b4b05bd00992674a5078b2023-12-01T23:17:36ZengMDPI AGAlgorithms1999-48932022-08-0115828410.3390/a15080284A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy LogicSatyam Paul0Rob Turnbull1Davood Khodadad2Magnus Löfstrand3Gas Turbine and Transmission Research Centre, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UKGas Turbine and Transmission Research Centre, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UKDepartment of Applied Physics and Electronics, Umeå Universitet, 90187 Umeå, SwedenSchool of Science and Technology, Orebro University, 70182 Orebro, SwedenThe fault detection system using automated concepts is a crucial aspect of the industrial process. The automated system can contribute efficiently in minimizing equipment downtime therefore improving the production process cost. This paper highlights a novel model based fault detection (FD) approach combined with an interval type-2 (IT2) Takagi–Sugeno (T–S) fuzzy system for fault detection in the drilling process. The system uncertainty is considered prevailing during the process, and type-2 fuzzy methodology is utilized to deal with these uncertainties in an effective way. Two theorems are developed; Theorem 1, which proves the stability of the fuzzy modeling, and Theorem 2, which establishes the fault detector algorithm stability. A Lyapunov stabilty analysis is implemented for validating the stability criterion for Theorem 1 and Theorem 2. In order to validate the effective implementation of the complex theoretical approach, a numerical analysis is carried out at the end. The proposed methodology can be implemented in real time to detect faults in the drilling tool maintaining the stability of the proposed fault detection estimator. This is critical for increasing the productivity and quality of the machining process, and it also helps improve the surface finish of the work piece satisfying the customer needs and expectations.https://www.mdpi.com/1999-4893/15/8/284fault detectionfuzzy logicstability analysisdrilling operationpredictive maintenance |
| spellingShingle | Satyam Paul Rob Turnbull Davood Khodadad Magnus Löfstrand A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic Algorithms fault detection fuzzy logic stability analysis drilling operation predictive maintenance |
| title | A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic |
| title_full | A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic |
| title_fullStr | A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic |
| title_full_unstemmed | A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic |
| title_short | A Vibration Based Automatic Fault Detection Scheme for Drilling Process Using Type-2 Fuzzy Logic |
| title_sort | vibration based automatic fault detection scheme for drilling process using type 2 fuzzy logic |
| topic | fault detection fuzzy logic stability analysis drilling operation predictive maintenance |
| url | https://www.mdpi.com/1999-4893/15/8/284 |
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