Application of Signal Feature Extraction of Double Cavity Jaw Crusher Based on DEPSO

نویسندگان

  • Fusheng Mu
  • Chao Liu
  • Hui Li
  • Ling Deng
  • Sheng Huang
چکیده

The sparse decomposition of vibration signal is the important part of the fault diagnosis of Double Cavity Jaw Crusher. But the calculation count of sparse decomposition is very large, and it is difficult to fulfill signal processing. After analyzing characteristics of Double Cavity Jaw Crusher, this paper proposes applying the hybrid algorithm, DEPSO which mixed the characteristics of particle swarm optimization (PSO) and difference evolution (DE) algorithm to extracting signal feature of Double Cavity Jaw Crusher and using it to complete signal decomposition of the best atoms search. With the combination of PSO and DE, this method avoids falling into the partial optimal solution. Besides, after the algorithm import the chiasma or variation operations?, the adaptability of the algorithm has made a lot of improvement. The result shows that applying DEPSO to extracting signal feature of Double Cavity Jaw Crusher greatly improves the searching speed, efficiency and accuracy of decomposition, and the calculation has also dropped down dramatically.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition

Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...

متن کامل

Crushing analysis of the industrial cage mill and the laboratory jaw crusher

Many research studies have been conducted on the liberation of locked minerals using a crusher and comparing this device with the other devices. This paper reviews the liberation of middle coal by different methods of crushing force. In the Tabas coal washing plant, particles of 0.5-50 mm size are processed through the heavy media method (using 3 Tri-flo separators) and particles of 0-0.5 mm si...

متن کامل

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

متن کامل

A review on EEG based brain computer interface systems feature extraction methods

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

متن کامل

Variable Speed Wind Turbine DFIG Back to Back Converters Open-Circuit Fault Diagnosis by Using of Combiniation Signal-Based and Model-Based Methodes

Condition monitoring (CM) and Fault Detection (FD) of wind turbine lead to increase in reliability and availability of turbine. IGBT open circuit of wind turbine converter will bring about depletion in output current of converter and as a result, reduction in production of wind turbine power. In this research, back to back converter IGBT open - gate fault for wind turbine based on DFIG is detec...

متن کامل

ذخیره در منابع من


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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • JCP

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2013