Condition based maintenance monitoring of gear box using fuzzy logic systems

The purpose of this research was to come up with an intelligent monitoring tool to reduce the number of breakdowns of a beverage company bottle washer. The Fuzzy Logic system was derived among other artificial intelligent systems to be best appropriate to solve the breakdown challenges of the bottle washer. A gearbox is always jamming and it's not easy to troubleshoot the breakdown cause and fuzzy logic is a tool that was used for monitoring. The researchers carried out a company audit, interviews and administered questionnaires in order to gather relevant data. The results were used in intelligent condition-based-maintenance modelling to solve the problem using fuzzy logic system and it was found that oil level should be always above 40% otherwise the gearbox will be made to stop. Torque is supposed to have a range of values accepted from 0-8 000Nm beyond that we consider the stoppage of the gearbox.

[1]  James R. Wertz,et al.  AUTONOMOUS ORBIT MAINTENANCE SYSTEM , 1996 .

[2]  Amik Garg,et al.  Maintenance management: literature review and directions , 2006 .

[3]  A. K. Munns,et al.  Building maintenance strategy: a new management approach , 1997 .

[4]  Barrie Dale,et al.  A study of total productive maintenance implementation , 2001 .

[5]  R. Schroeder,et al.  The impact of total productive maintenance practices on manufacturing performance , 2001 .

[6]  Xueping Li,et al.  Developing a value stream map to evaluate breakdown maintenance operations , 2009 .

[7]  L. Swanson.  Linking maintenance strategies to performance , 2001 .

[8]  M. E. Ya’acob,et al.  FUZZY LOGIC CONTROL OF A NONLINEAR PH-NEUTRALISATION IN WASTE WATER TREATMENT PLANT , 2004 .

[9]  Hans P. Geering.  Introduction to fuzzy control , 1998 .

[10]  Mark A. Huselid.  The Impact of Human Resource Management Practices on Turnover, Productivity, and Corporate Financial Performance , 1995 .

[11]  J. Endrenyi,et al.  The Present Status of Maintenance Strategies and the Impact of Maintenance on Reliability , 2001, IEEE Power Engineering Review.

[12]  J. Moubray.  Reliability-centred maintenance , 1995 .

[13]  James F. Power,et al.  Using Fuzzy Logic: Towards Intelligent Systems , 1994 .

[14]  Hao Ying.  Introduction to Fuzzy Control and Modeling , 2000 .

[15]  Vinod Kumar Khanna.  5 “S” and TQM status in Indian organizations , 2009 .

[16]  Lei Zhang,et al.  Development of an autonomous in-pipe robot for offshore pipeline maintenance , 2010, Ind. Robot.

[17]  A. Kelly.  Maintenance Planning and Control , 1984 .

[18]  James Llinas,et al.  Data fusion/data mining-based architecture for condition-based maintenance , 2006 .

[19]  A. D. Amar,et al.  Motivating knowledge workers to innovate: a model integrating motivation dynamics and antecedents , 2004 .