Amirkabir University of Technology Amirkabir Journal of Mechanical Engineering 2008-6032 49 2 2017 07 23 Gear wear’s fault diagnosis in tail gearbox of helicopter: using K nearest neighbor recognition pattern Gear wear’s fault diagnosis in tail gearbox of helicopter: using K nearest neighbor recognition pattern 341 350 780 10.22060/mej.2016.780 FA H. Saeidi Faculty of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran M.S. Safizadeh Faculty of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran Journal Article 2012 12 23 Rotary systems application in aerospace, power stations, automotive industries and many others is prevalent. Maintenance of rotating system based on traditional logics is very expensive in different industries. Therefore, intelligent fault detection of engineering systems, especially mechanical ones, is important and growing issues in the industries all around the world.<br />In this research which done on power transmission system in tail gearbox of helicopter, an intelligent fault detection system for gear wear in tail gearbox of helicopter represented. For designing an intelligent testing system, an experimental set-up consisted of tail gearbox of helicopter with its related shafts and a real fix support condition designed and developed. Simulated fault on considered system is pinion wheel input wear, which was created in three stages، various conditions of gearbox in intact and damage state was studied .In designing this intelligent fault detection system time-domain signal analysis, discrete wavelet transform, Principal component analysis and automatic decision making techniques such as k nearest neighbor recognition method used. Rotary systems application in aerospace, power stations, automotive industries and many others is prevalent. Maintenance of rotating system based on traditional logics is very expensive in different industries. Therefore, intelligent fault detection of engineering systems, especially mechanical ones, is important and growing issues in the industries all around the world.<br />In this research which done on power transmission system in tail gearbox of helicopter, an intelligent fault detection system for gear wear in tail gearbox of helicopter represented. For designing an intelligent testing system, an experimental set-up consisted of tail gearbox of helicopter with its related shafts and a real fix support condition designed and developed. Simulated fault on considered system is pinion wheel input wear, which was created in three stages، various conditions of gearbox in intact and damage state was studied .In designing this intelligent fault detection system time-domain signal analysis, discrete wavelet transform, Principal component analysis and automatic decision making techniques such as k nearest neighbor recognition method used. https://mej.aut.ac.ir/article_780_a8e864d04c95572d1aece099af852d0a.pdf