Analytical Mechanical Diagnostic Benefits: Case Studies

Amplitude of Probability Density Function (APDF) of Vibration Response as a Robust Tool for Gearbox Diagnosis

“…Although the science of vibration analysis forms the basis of a number of techniques capable of properly indicating a gear fault, most of them require specialist knowledge, offline analysis of data, advanced signal processing techniques and much user experience of data interpretation to determine whether a gear fault has developed [4–19]. Because of the demanding requirements, these approaches may be considered inappropriate in a situation when a ‘Go’ or ‘No Go’ indication of gear health is required, when it must be quick, automatic and easily interpreted, perhaps in‐flight, by a non‐specialist like a helicopter pilot.…”

“…Rzeszucinski [21] gave a review of a range of CIs and compared their sensitivity and the performance on simulated and experimental data sets. An important trend in vibration‐based condition monitoring of gears is to use the non‐dimensional parameter ‘kurtosis’ of the residual signal of the measured vibration data for health assessment, as part of a computed method CI called ‘FM4’ [4–10], because it is observed to be a good and reliable indicator. The concept of the residual signal derived from the measured vibration signal is briefly discussed for better understanding.…”