Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Statistical safety analysis of maintenance management process of excavator units

  • Published:
International Journal of Automation and Computing Aims and scope Submit manuscript

Abstract

Within this paper, the process of statistical safety analysis has been presented, which involves the following steps: formulation of basic principles of statistical safety analysis, initial events analysis, accident sceneries progress analysis, risk calculation, and risk calculation results analysis. On this basis, it has been concluded that the bucket wheel excavator SRs 1200×24/4×0(400 kW)+VR safety criteria is the mechanism for the hoist of rotor’s arrow failure modes, because in that case whole bucket wheel excavator failure would necessarily happen (excavator falling down on counterweight). Therefore, excavator units statistical safety analysis is accomplished preventively to obtain its effective maintenance management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. G. Yang. Life Cycle Reliability Engineering, Hoboken, USA: John Wiley & Sons Inc., pp. 531, 2007.

    Book  Google Scholar 

  2. J. Knezevic, L. Papic, B. Vasic. Sources of fuzziness in vehicle maintenance management. Journal of Quality in Maintenance Engineering, vol. 3, no. 4, pp. 281–284, 1997.

    Article  Google Scholar 

  3. J. A. Nachlas. Reliability Engineering, Probabilistic Models and Maintenance Methods, Boca Raton, USA: Taylor and Francis Group, pp. 403, 2005.

    MATH  Google Scholar 

  4. T. A. Kletz. Learning from Accidents, Oxford, USA: Butterworth-Heinemann Ltd., pp. 279, 1994.

    Google Scholar 

  5. J. Aronov. Methodology of Operational Safety Management on the Base Disturbances Statistical Analysis during Systems Operation and Assessment Methods Standardization, Ph.D. dissertation, VNIIS, Moscow, pp. 254, 1998. (in Russian)

    Google Scholar 

  6. T. Kletz. An Engineer’s View of Human Errors, Rugby, USA: Institution of Chemical Engineers, pp. 209, 1991.

    Google Scholar 

  7. E. Zio. Computational Methods for Reliability and Risk Analysis, Singapore: World Scientific Publishing Co. Pte. Ltd., pp. 362, 2007.

    Google Scholar 

  8. B. G. Dale. Managing Quality, Oxford, USA: Blackwell Publishing, pp. 495, 1999.

    Google Scholar 

  9. D. H. Stamatis. Failure Mode and Effects Analysis, FMEA from Theory to Execution, Milwaukee, USA: ASQ Quality Press, pp. 487, 2003.

    Google Scholar 

  10. Zio E. An Introduction to the Basis of Reliability and Risk Analysis, Singapore: World Scientific Publishing Co. Pte. Ltd., pp. 234, 2007.

    Google Scholar 

  11. L. Papic, M. Pantelic. Implementation Methodology for Risk Minimization into Maintenance Process of Production System at Coal Mines, Report of Contract No. 4617, DQM Research Center — Kolubara Metal, Prijevor — Vreoci, pp. 468, 2009. (in Serbian)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Research Center of Dependability and Quality Management, P.O. Box 132, Cacak, 32102, Serbia

    Ljubisa Papic

  2. Kolubara Metal Company, Dise Djurdjevica 32, Vreoci, 11560, Serbia

    Milorad Pantelic

  3. Federal Scientific Research Institute of Standardization, Elektricheskiy Pereulok 3/10, Moscow, 123557, Russia

    Joseph Aronov

  4. Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India

    Ajit Kumar Verma

Authors
  1. Ljubisa Papic
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Milorad Pantelic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Joseph Aronov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ajit Kumar Verma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ljubisa Papic.

Additional information

Ljubisa Papic received the Ph.D. degree in reliability engineering from University of Novi Sad, Serbia. Currently, he is a professor and the head of the Department of Industrial and Systems Engineering in the Faculty of Engineering Cacak at the University of Kragujevac, Serbia. He is a member of Russian Quality Problems Academy and Corresponding Member of Serbian Engineering Sciences Academy. He is director and founder of the Research Center of Dependability and Quality Management (DQM Research Center) and he is serving as editor-in-chief of Communications in Dependability and Quality Management, an international journal. Also, he is serving as an editorial board member of Metody Menedzhmenta Kachestva and Problemy Mashinostroeniya i Avtomatizatsii, journals in Moscow, Russia. He was a visiting professor at Ben-Gurion University of the Negev, Israel and at Valencia Polytechnic University, Spain. He is a member of the IEEE Reliability Society and senior member of the American Society for Quality (ASQ). He is a recipient of Education and Research Leadership Award by Society for Reliability Engineering, Quality and Operations Management.

His research interests include reliability testing, failure analysis, safety analysis, and concurrent engineering

Milorad Pantelic received the Ph.D. degree in maintainability engineering from University of Kragujevac, Serbia. He is the deputy director of Kolubara Metal Company, Vreoci, Serbia. Also, he is an assistant professor at the Department of Industrial and Systems Engineering in the Faculty of Engineering Cacak at the University of Kragujevac, Serbia. He is a recipient Best Technological Innovation Award by Ministry of Science and Technological Development of Republic Serbia.

His research interests include maintenance technology, maintenance concepts, and diagnostics.

Joseph Aronov received the Ph.D. degree in safety engineering from Federal Scientific Research Institute of Standardization (VNIIS), Moscow, Russia. Currently, he is a professor and the department head at VNIIS in Moscow, Russia. He is serving as scientific editor of Metody Menedzhmenta Kachestva, journal in Moscow, Russia. Also, he is serving as an editorial board member of Communications in Dependability and Quality Management, an international journal, published by DQM Research Center, Serbia.

His research interests include reliability analysis, safety analysis, statistical methods, and conformity assessment.

Ajit Kumar Verma received the B. Tech. (Hons) and Ph.D. (Engg.) degrees from Department of Electrical Engineering, IIT Kharagpur, India. He is currently working as a director of the International Institute of Information Technology, Pune on lien from IIT Bombay, India, where he is a professor in the Department of Electrical Engineering. He has supervised twenty three Ph.D. dissertations and eighty four master dissertations at IIT Bombay. He has been a guest editor of special issues of various international journals. He is a senior member of IEEE and life fellow of IETE.

His research interests on reliability engineering include interdisciplinary applications in software engineering, computing, maintenance, quality management, and power systems.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Papic, L., Pantelic, M., Aronov, J. et al. Statistical safety analysis of maintenance management process of excavator units. Int. J. Autom. Comput. 7, 146–152 (2010). https://doi.org/10.1007/s11633-010-0146-z

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11633-010-0146-z

Keywords

Search

Navigation