Gear wear's fault diagnosis in tail gearbox of helicopter: using K nearest neighbor recognition pattern
Author(s):
Abstract:
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.
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.
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.
Keywords:
Language:
Persian
Published:
Amirkabir Journal Mechanical Engineering, Volume:49 Issue: 2, 2017
Page:
341
magiran.com/p1728957
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!