A new vibration-based hybrid anomaly detection model for preventing high-power generator failures in power plants

ABSTRACT

This paper presents a new vibration-based hybrid anomaly detection model to prevent high-power generator failures in power plants. This idea was conceived as it causes large amounts of energy and economic losses once the generator remains in turn-off positions for a long time due to malfunctions. Furthermore, the failures in high-power generators, especially during peak load demanded time, can even cause systemic shortcomings. To overcome these limitations, multivariate linear regression, response surface methodology, and multi-layer perceptron-based hybrid anomaly detection model were designed to detect anomaly cases. The real-time vibration data collected by 20 distinctive sensors on powerful generators of each 360 MW from the Afşin-Elbistan B Thermal Power Plant were used. The hybrid model succeeded in determining the impact degrees of the sensors on the anomaly, and the number of effective sensors was reduced from 28 to 9. The most effective sensor for anomaly cases was determined as Pedastal 3 Vibration (x-axis), whereas the sensor with the most negligible impact was determined as Rotor 6 Vibration (y-axis). The model performance evaluation metric (R²) of the designed hybrid model was calculated over 0.92. The performance results were presented in graphs and tables.

KEYWORDS:

• Vibration analysis
• anomaly detection
• response surface methodology
• hybrid model
• electricity power plant

Nomenclature

Table

Acknowledgments

The authors are thankful to the Electricity Generation Company (EÜAŞ) and the general director of the Afşin-Elbistan B Power Plant for their assistance in gathering data.

Disclosure statement

On behalf of all author(s), the corresponding author states no conflict of interest.

Additional information

Notes on contributors

Ismail Kirbaş

Ismail Kirbas: He got his BSc andMSc from Kocaeli University, and PhD from Sakarya University. He is working as an Assoc. Prof. Dr.  at Department of Computer Engineering at Burdur Mehmet Akif Ersoy University. His research fields are wireless sensor networks, embedded systems, artificial intelligence, and software development.

Alper Kerem

Alper Kerem:  He is an Electrical Electronics Engineer. He got his BSc, MSc, and PhD from Gazi University, Ankara, Turkey. Currently, he works as an Asst. Prof. Dr at Department of Electrical Electronics Engineering at Kahramanmaraş Sütçü İmam University. His research fields are electric power plants, energy systems, power electronics, and electric vehicles.Not StartedCompletedRejected