Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform

نویسندگان

  • M. Amani
  • M. Latifi
  • S. M. Etrati and A. H. Sadri
چکیده مقاله:

Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining fault position and dimensions. Therefore, the Wavelet transform method is suitable for online fault detection

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Predicting Bursting Strength of Plain Knitted Fabrics using ANN

In this study, the effects of yarn parameters, on the bursting strength of the plain knitted fabrics were examined with the help of artificial neural networks. In order to obtain yarns having different properties such as tenacity, elongation, unevenness, the yarns were produced from six different types of cotton. In addition to cotton type, yarns were produced in four different counts having th...

متن کامل

Transient Analysis and Motor Fault Detection using the Wavelet Transform

Induction motors are the most common means of converting electrical power to mechanical power in the industry. Induction machines were typically considered robust machines; however, this perception began to change toward the end of the last decade as low-cost motors became available on the market. Nowadays the most widely used induction motor in the industry is a machine which works at the limi...

متن کامل

Gear Fault Diagnostics using Wavelet Transform

Due to industrial importance of gears in power transmission systems, fault detection and diagnosis of gear transmission systems have attracted considerable attention in recent years, there is constant pressure to improve measuring techniques and tools for early detection and diagnosis of gearbox faults. The time and frequency localization properties of continuous wavelet transform offers a viab...

متن کامل

Selection of Optimal Mother Wavelet for Fault Detection Using Discrete Wavelet Transform

This paper exploited the various mother wavelets for fault detection. A different value of fault resistances analyzed on different types of mother wavelets. Comparisons are made based on the sum of coefficients in multi resolution signal decomposition (MSD) using Discrete Wavelet Transform (DWT). Based on the extensive investigations on different value of fault resistance in Line-Ground (L-G) f...

متن کامل

Using PCA with LVQ, RBF, MLP, SOM and Continuous Wavelet Transform for Fault Diagnosis of Gearboxes

A new method based on principal component analysis (PCA) and artificial neural networks (ANN) is proposed for fault diagnosis of gearboxes. Firstly the six different base wavelets are considered, in which three are from real valued and other three from complex valued. Two wavelet selection criteria Maximum Energy to Shannon Entropy ratio and Maximum Relative Wavelet Energy are used and compared...

متن کامل

منابع من

با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 23  شماره 1

صفحات  221- 227

تاریخ انتشار 2004-07

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023