Failure analysis of governor in diesel engine using Shainin System™

Abstract Operating speed of an engine remain a significant factor for customers and is controlled by the variable speed governors. Failure of engine components represents a familiar phenomenon. Failure analysis of the governor of the diesel engine remains the focus of this article. Various methods, either experimental or statistical methods are employed in various researches to conduct failure analysis. Shainin System ™, a type of statistical method is employed in the current work for failure analysis. The component search and better versus current techniques of the SS are used. The employment of the SS approach, facilitated to identify the root cause of rejection of the selected engine.

[1]  T. Senthilvelan,et al.  Failure detection and optimization of sugar mill boiler using FMEA and Taguchi method , 2013 .

[2]  Yuan Cheng,et al.  Materials failure analysis utilizing rule-case based hybrid reasoning method , 2019 .

[3]  H. Bayrakceken,et al.  Failures of single cylinder diesel engines crank shafts , 2007 .

[4]  J. Cuisano,et al.  Failure analysis of a diesel generator connecting rod , 2016 .

[5]  Stefan H. Steiner,et al.  An Overview of the Shainin System™ for Quality Improvement , 2007 .

[6]  J. Pang,et al.  Investigation into diesel engine cylinder head failure , 2018, Engineering Failure Analysis.

[7]  Zhi Zhang,et al.  Failure analysis of a fracture tubing used in the formate annulus protection fluid , 2019, Engineering Failure Analysis.

[8]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[9]  R. Martins,et al.  Failure analysis of crankshafts used in maritime V12 diesel engines , 2018, Engineering Failure Analysis.

[10]  Fuat Alarçin,et al.  APPLICATION OF FUZZY ANALYTIC HIERARCHY PROSES FOR ERROR DETECTION OF AUXILARY SYSTEMS OF SHIP MAIN DIESEL ENGINES , 2015 .

[11]  Amr A. Abd-Elhady,et al.  Prediction of failure stages for double lap joints using finite element analysis and artificial neural networks , 2019, Engineering Failure Analysis.

[12]  Martín Tanco,et al.  Comparing Different Approaches for Design of Experiments (DoE) , 2008, World Congress on Engineering.

[13]  Tzong-Shi Liu,et al.  The application of Petri nets to failure analysis , 1997 .

[14]  M. Tech Scholar,et al.  Quality Improvement during Camshaft Keyway Tightening Using Shainin Approach , 2014 .

[15]  Anupama Prashar,et al.  Using Shainin DOE for Six Sigma: an Indian case study , 2016 .

[16]  Sunil K. Sharma,et al.  Simplifying the Six Sigma Toolbox through Application of Shainin DOE Techniques , 2009 .

[17]  Jan Kosina Shainin Methodology: An Alternative or an Effective Complement to Six Sigma? , 2015 .

[18]  Jiju Antony,et al.  A comparative analysis of the Taguchi and Shainin DOE techniques in an aerospace environment , 2005 .

[19]  M. J. Tindal,et al.  Chapter Three – Diesel Engines , 1988 .

[21]  Doug Woodyard High-Speed Engines , 2009 .

[22]  D. Rivas,et al.  Failure analysis of a diesel engine , 2017 .

[23]  Jean Paul Freyssinier,et al.  Solid-state lighting: failure analysis of white LEDs , 2004 .

[24]  Bo Zhao,et al.  An analytical-finite-element method for calculating mesh stiffness of spur gear pairs with complicated foundation and crack , 2018, Engineering Failure Analysis.

[25]  Claire Soares,et al.  3 – Gas Turbine Configurations and Heat Cycles , 2008 .