Estimating the Loading Condition of a Diesel Engine Using Instantaneous Angular Speed Analysis

  • T. R. Lin
  • A. C. C. Tan
  • L. Ma
  • J. Mathew
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)


Continuous monitoring of diesel engine performance is critical for early detection of fault developments in the engine before they materialize and become a functional failure. Instantaneous crank angular speed (IAS) analysis is one of a few non-intrusive condition monitoring techniques that can be utilized for such tasks. In this experimental study, IAS analysis was employed to estimate the loading condition of a 4-stroke 4-cylinder diesel engine in a laboratory condition. It was shown that IAS analysis can provide useful information about engine speed variation caused by the changing piston momentum and crankshaft acceleration during the engine combustion process. It was also found that the major order component of the IAS spectrum directly associated with the engine firing frequency (at twice the mean shaft revolution speed) can be utilized to estimate the engine loading condition regardless of whether the engine is operating at normal running conditions or in a simulated faulty injector case. The amplitude of this order component follows a clear exponential curve as the loading condition changes. A mathematical relationship was established for the estimation of the engine power output based on the amplitude of the major order component of the measured IAS spectrum.


Acoustic Emission Diesel Engine Engine Cycle Order Component Encoder Signal 
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This paper was developed within the CRC for Infrastructure and Engineering Asset Management, established and supported under the Australian Government’s Cooperative Research Centres Programme. The authors gratefully acknowledge the financial support provided by the CRC.


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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • T. R. Lin
    • 1
    • 2
  • A. C. C. Tan
    • 2
  • L. Ma
    • 1
    • 2
  • J. Mathew
    • 1
  1. 1.CRC for Infrastructure and Engineering Asset ManagementBrisbaneAustralia
  2. 2.School of Engineering SystemsQueensland University of TechnologyBrisbaneAustralia

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