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RESEARCH ARTICLE:
Failure and reliability evaluation of turbines used in Nigerian thermal plant
A. A. Atikpakpa 1, C. E. Okafor 2 and U. C. Okonkwo 1
1Mechanical Engineering, Delta State Polytectnic, Otefe – Oghara, Nigeria
2Dept. of Mechanical Engineering, Nnamdi Azikiwe University, Awka, Nigeria
J. Sci. Technol. Environ. Inform. | Volume 04, Issue 01, pp. 280-292 | Date of Publication: 14 November 2016, Article revised: 25 December 2016
DOI: 10.18801/jstei.040116.31
Failure and reliability evaluation of turbines used in Nigerian thermal plant
A. A. Atikpakpa 1, C. E. Okafor 2 and U. C. Okonkwo 1
1Mechanical Engineering, Delta State Polytectnic, Otefe – Oghara, Nigeria
2Dept. of Mechanical Engineering, Nnamdi Azikiwe University, Awka, Nigeria
J. Sci. Technol. Environ. Inform. | Volume 04, Issue 01, pp. 280-292 | Date of Publication: 14 November 2016, Article revised: 25 December 2016
DOI: 10.18801/jstei.040116.31
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Title: Failure and reliability evaluation of turbines used in Nigerian thermal plant
Abstract: Failure and reliability evaluation of turbines used in Nigerian thermal plant has been undertaken. Data were obtained directly from the operational department of the stations log-book, which were records of the station’s plant generation from each of the operational power generating units. The exponential and Weibull density models were used to evaluate the reliability of six turbines as an individual component in the station. Mean time to failure (MTBF), Mean time to repair (MTTR) and failure rate (λ) are evaluated from the maintenance record book of Sapele thermal power station and used to evaluate the distribution and reliabilities of system components. Each Weibull curve compressed on both axes and the vertical axis showed the density of stretchiness of the reliability of both turbines while the horizontal axis showed the minimum life of turbine or the aging condition in hours. The reliability of ST01 and aging condition of unit drop by 3.5% in every 77 hours from the year 2003 to 2012. ST02 reliability, 3% in 68 hours; ST06 reliability, 3.5% in 76 hour; GT01 reliability 3% in 75 hours; and GT02 reliability 3% in 84 hour. For a power generating station to be reliability the failure rate index must be reduced from unity to 0 as availability is directly proportional to reliability.
Key Words: Reliability, Probability, Turbines, Weibull, Failure and Bath-tub
Abstract: Failure and reliability evaluation of turbines used in Nigerian thermal plant has been undertaken. Data were obtained directly from the operational department of the stations log-book, which were records of the station’s plant generation from each of the operational power generating units. The exponential and Weibull density models were used to evaluate the reliability of six turbines as an individual component in the station. Mean time to failure (MTBF), Mean time to repair (MTTR) and failure rate (λ) are evaluated from the maintenance record book of Sapele thermal power station and used to evaluate the distribution and reliabilities of system components. Each Weibull curve compressed on both axes and the vertical axis showed the density of stretchiness of the reliability of both turbines while the horizontal axis showed the minimum life of turbine or the aging condition in hours. The reliability of ST01 and aging condition of unit drop by 3.5% in every 77 hours from the year 2003 to 2012. ST02 reliability, 3% in 68 hours; ST06 reliability, 3.5% in 76 hour; GT01 reliability 3% in 75 hours; and GT02 reliability 3% in 84 hour. For a power generating station to be reliability the failure rate index must be reduced from unity to 0 as availability is directly proportional to reliability.
Key Words: Reliability, Probability, Turbines, Weibull, Failure and Bath-tub
APA (American Psychological Association)
Atikpakpa, A. A., Okafor, C. E. & Okonkwo, U. C. (2016). Failure and reliability evaluation of turbines used in Nigerian thermal plant. Journal of Science, Technology and Environment Informatics, 04(01), 280-292.
MLA (Modern Language Association)
Atikpakpa, A. A., Okafor, C. E. & Okonkwo, U. C. “Failure and reliability evaluation of turbines used in Nigerian thermal plant.” Journal of Science, Technology and Environment Informatics, 04.01 (2016): 280-292.
Chicago and or Turabian
Atikpakpa, A. A., Okafor, C. E. & Okonkwo, U. C. Failure and reliability evaluation of turbines used in Nigerian thermal plant. Journal of Science, Technology and Environment Informatics, 04, no. 01 (2016): 280-292.
Atikpakpa, A. A., Okafor, C. E. & Okonkwo, U. C. (2016). Failure and reliability evaluation of turbines used in Nigerian thermal plant. Journal of Science, Technology and Environment Informatics, 04(01), 280-292.
MLA (Modern Language Association)
Atikpakpa, A. A., Okafor, C. E. & Okonkwo, U. C. “Failure and reliability evaluation of turbines used in Nigerian thermal plant.” Journal of Science, Technology and Environment Informatics, 04.01 (2016): 280-292.
Chicago and or Turabian
Atikpakpa, A. A., Okafor, C. E. & Okonkwo, U. C. Failure and reliability evaluation of turbines used in Nigerian thermal plant. Journal of Science, Technology and Environment Informatics, 04, no. 01 (2016): 280-292.
- Adefarati, T., Babarinde, A. K., Oluwole, A. S. & Olusuyi, K. (2014). Reliability evaluation of Ayede 330/132KV substation. International Journal of Engineering and Innovative Technology, 4(4), 86-91.
- Alwan, F. M., Baharum, A. & Hassan, G. S. (2013) Reliability measurement for mixed mode failures of 33/11 Kilovolt Electric Power Distribution Stations. PLoS ONE, 8(8), e69716.
- Asis, S., Dhiren, K. B., Suresh, K., & Manoj, S. (2012). Reliability assessment of Rukhia Gas Turbine Power Plant in Tripura. International Journal of Current Engineering and Technology, 2(1), 184-195.
- Barringer, H. Paul (2004). Predict Failure: Crow-AMSAA 101 and Weibull 101, International mechanical Engineering Conference Kuwait.
- Dieter, G. E. & Schmidt, L. (2009). Engineering Design. 4th edition McGraw-Hill International edition, Singapore.
- Gavrilov, L. A. & Gavrilova, N. S. (2001). The reliability theory of aging and longevity. J. Theor. Biol. 213 (4), 527–45. PMid:11742523
- Hansen, B. L. & Ghare, P. M. (1987). Quality control and application. Prentice Hall of India, New Delhi.
- Jibril, Y. & Ekundayo, K. R. (2013). Reliability Assessment of 33kV Kaduna Electricity Distribution Feeders, Northern Region, Nigeria. Proceedings of the World Congress on Engineering and Computer Science.
- Misra, R. C. (2008). Reliability and Maintenance Engineering. New Age, International publishers, New Delhi. 1(2), 21 – 35.
- Obodeh, O. & Esabunor, T. (2011). Reliability assessment of WRPC gas turbine power station. Journal of Mechanical Engineering Research, 3(8), 286-292.
- Oyedepo, S. O., Fagbenle, R. O. & Adefila, S. S. (2015). Assessment of performance indices of selected gas turbine power plants in Nigeria. Energy Sci Eng. 3, 239–256.
- Shooman, M. L. (1968). Probabilistic Reliability: An Engineering Approach. McGraw-Hill, New York,
- Sulaiman, M. A. (2015). Effect of planned preventive maintenance application on the performance of Egbin Thermal Power Station. Journal of Energy Technologies and Policy, 5(1), 48-52.
- Zungeru, A. M., Araoye, A. B., Bajoga, A. B. G., Garba, J. & Tola, O. J. (2012). Reliability evaluation of Kainji Hydro-Electric Power Station in Nigeria. Journal of Energy Technologies and Policy, 2(2), 15-31.
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