0
Research Papers: Gas Turbines: Controls, Diagnostics, and Instrumentation

Radial Turbines Diagnosis in Turbocharging Application

[+] Author and Article Information
L. Barelli, G. Bidini

Department of Industrial Engineering,
University of Perugia,
Via G. Duranti 1/A4,
Perugia 06125, Italy

F. Bonucci

Department of Industrial Engineering,
University of Perugia,
Via G. Duranti 1/A4,
Perugia 06125, Italy
e-mail: fabio.bonucci@unipg.it

1Corresponding author.

Contributed by the Controls, Diagnostics and Instrumentation Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received May 21, 2014; final manuscript received June 5, 2014; published online August 18, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 137(1), 011601 (Aug 18, 2014) (6 pages) Paper No: GTP-14-1242; doi: 10.1115/1.4028112 History: Received May 21, 2014; Revised June 05, 2014

The main purpose of this work is the development of a diagnostic procedure for radial turbines installed on internal combustion engine turbochargers. The study is part of a wider research activity regarding the development of diagnostic systems dedicated to cogenerative engine. The proposed procedure is able to formulate a judgment about the turbines efficiency through the real-time evaluation of an effective performance index, only on the basis of pressure measurements across the turbine. Such diagnostic procedure was developed in reference to experimental data gathered in two acquisition campaigns performed before and after a consistent maintenance intervention on engine turbines. The first part of the work approaches turbine failures issues, while in the second one experimental results are presented and analyzed. Finally, the study deals with the definition of some turbine health state indices and their test in reference to the experimental data cited above. A particular index was validated as useful to be implemented in a diagnostic procedure for detection of turbine degradation.

FIGURES IN THIS ARTICLE
<>
Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.

References

Dash, S., and Venkatasubramanian, V., 2000, “Challenges in the Industrial Applications of Fault Diagnostic System,” Comput. Chem. Eng., 24(2–7), pp. 785–791. [CrossRef]
Isermann, R., 2005, Fault-Diagnosis System, an Introduction From Fault Detection to Fault Tolerance, Springer, Berlin.
Barelli, L., and Bidini, G., 2005, “Design of the Measurements Validation Procedure and the Expert System Architecture for a Cogeneration Internal Combustion Engine,” Appl. Therm. Eng., 25(17–18), pp. 2698–2714. [CrossRef]
Barelli, L., Bidini, G., and Bonucci, F., 2009, “Development of the Regulation Mapping of 1 MW Internal Combustion Engine for Diagnostic Scopes,” Appl. Energy, 86(7–8), pp. 1087–1104. [CrossRef]
Barelli, L., Bidini, G., and Bonucci, F., 2009, “Diagnosis Methodology for the Turbocharger Groups Installed on a 1 MW Internal Combustion Engine,” Appl. Energy, 86(12), pp. 2721–2730. [CrossRef]
Barelli, L., Bidini, G., and Bonucci, F., 2013, “Diagnosis of a Turbocharging System of 1 MW Internal Combustion Engine,” Energy Convers. Manage., 68, pp. 28–39. [CrossRef]
Ogaji, S. O. T., Sampath, S., Singh, R., and Robert, S. D., 2002, “Parameter Selection for Diagnosing a Gas-Turbine's Performance-Deterioration,” Appl. Energy, 73(1), pp. 25–46. [CrossRef]
Diaoa, Y., and Passino, K. M., 2004, “Fault Diagnosis for a Turbine Engine,” Control Eng. Pract., 12(9), pp. 1151–1165. [CrossRef]
Stamatis, A., Mathioudakis, K., and Papailiou, K. D., 1992, “Optimal Measurement and Health Index Selection of Gas-Turbine Performance Status and Fault Diagnosis,” ASME J. Eng. Gas Turbines Power, 114(2), pp. 209–216. [CrossRef]
Diakunchak, I. S., 1992, “Performance Deteriorations in Industrial Gas-Turbines,” ASME J. Eng. Gas Turbines Power, 114(2), pp. 161–169. [CrossRef]
Kubiak, S. J., Garcıa-Gutierrez, A., and Urquiza, B. G., 2002, “The Diagnosis of Turbine Component Degradation—Case Histories,” Appl. Therm. Eng., 22(17), pp. 1955–1963. [CrossRef]
Lakshminarasimha, A. N., Boyce, M. P., and Meher-Homji, C. B., 1994, “Modeling and Analysis of Gas-Turbine Performance Deterioration,” ASME J. Eng. Gas Turbines Power116(1), pp. 46–52. [CrossRef]
Aker, G. F., and Saravanamuttoo, H. I. H., 1989, “Predicting Gas-Turbine Performance Behavior Due to Compressor Fouling Using Computer-Simulation Techniques,” ASME J. Eng. Gas Turbines Power, 111(2), pp. 343–350. [CrossRef]
Yoon, J. E., Lee, J. J., Kim, T. S., and Sohn, J. L., 2008, “Analysis of Performance Deterioration of a Micro Gas Turbine and the Use of Neural Network for Predicting Deteriorated Component Characteristic,” J. Mech. Sci. Technol., 22(12), pp. 2516–2525. [CrossRef]
Salahshoor, K., Khoshro, M. S., and Kordestani, M., 2011, “Fault Detection and Diagnosis of an Industrial Steam Turbine Using a Distributed Configuration of Adaptive Neuro-Fuzzy Inference Systems,” Simul. Model. Pract. Theory, 19(5), pp. 1280–1293. [CrossRef]
Sadough Vanini, Z. N., Khorasani, K., and Meskin, N., 2013, “Fault Detection and Isolation of a Dual Spool Gas Turbine Engine Using Dynamic Neural Networks and Multiple Model Approach,” Inf. Sci., 259, pp. 234–251. [CrossRef]
Pantelelis, N. G., Kanarachos, A. E., and Gotzias, N., 2000, “Neural Networks and Simple Models for the Fault Diagnosis of Naval Turbochargers,” Math. Comput. Simul., 51(3–4), pp. 387–397. [CrossRef]
Guasch, A., Quevedoa, J., and Milne, R., 2000, “Fault Diagnosis for Gas Turbines Based on the Control System,” Eng. Appl. Artif. Intell., 13(4), pp. 477–484. [CrossRef]
Simani, S., and Fantuzzi, C., 2006, “Dynamic System Identification and Model-Based Fault Diagnosis of an Industrial Gas Turbine Prototype,” Mechatronics, 16(6), pp. 341–363. [CrossRef]
Simani, S., and Patton, R. J., 2008, “Fault Diagnosis of an Industrial Gas Turbine Prototype Using a System Identification Approach,” Control Eng. Pract., 16(7), pp. 769–786. [CrossRef]

Figures

Grahic Jump Location
Fig. 1

Turbine casing and blades before reconditioning

Grahic Jump Location
Fig. 2

Engine startup transitory in wear turbine conditions

Grahic Jump Location
Fig. 3

Rotational velocity trend at engine load variation

Grahic Jump Location
Fig. 4

Rotational velocity trends, at different turbine conditions, varying engine load

Grahic Jump Location
Fig. 5

Expansion ratio trend at engine load variation

Grahic Jump Location
Fig. 6

Turbine inlet pressure at engine load variation

Grahic Jump Location
Fig. 7

Velocity index Itv at engine load variation

Grahic Jump Location
Fig. 8

Pressure index Itp1 at engine load variation

Grahic Jump Location
Fig. 9

Expansion ratio index Itp2 at engine load variation

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In