Research Paper (postgraduate) from the year 2015 in the subject
Engineering - Automotive Engineering, course: Engineering and
Technology, language: English, abstract: In recent times, research on
effective Acoustic Emission (AE)-based methods for condition monitoring
and fault recognition has attracted many researchers. They recognize
that the advanced methods of supervision, fault recognition become
increasingly important for many technical processes, for the improvement
of reliability, safety and efficiency. The use of acoustic signals for
fault diagnosis in four-strokes Internal Combustion Engine has grown
significantly due to advances in the progress of digital signal
processing algorithms and implementation techniques. The classical
approaches are limited to checking of some measurable output variables
and does not provide a deeper insight and usually do not allow a fault
diagnosis. Engine problems are caused primarily by improper maintenance
or fatigue caused by normal wear and tear and also worn out or clogged
vehicle parts. The main cause of overheating of the engine, engine
surging and other problems is noticed as worn out parts. The faults in
Internal Combustion (IC) engine, reduces the performance, fuel average,
smoothness also a change in engine sound is observed. The faults in IC
engines can be recognized and repaired based on engine sound and past
experience. But as the engines are becoming more and more complex,
getting expertise in fault recognition and localization is difficult, so
there is a need of assistance system for fault recognition in IC engine,
which will tell you about the possible fault based on the data provided
to it.
