CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12178 > Article
Paper
14 April 2022 Research on die fault signal of high speed screw cold heading machine based on tolerance matching in time domain and principal value analysis in frequency domain
Yanyu Sun, Guoping Li, Dongdong Gao
Author Affiliations +
Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217802 (2022) https://doi.org/10.1117/12.2631848
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China
Abstract
Cold heading die is one of the key components of high speed screw cold heading machine.As the vulnerable parts, the die should be monitored and fault diagnosed. In this paper, the arithmetic average algorithm based on time domain is adopted to denoise the load signal of the mold, and then the load signal after denoising is processed by time-domain tolerance matching and frequance-domain principal value analysis, so as to identify faults. The simulation results show that the timedomain arithmetic average algorithm can effectively improve the signal-to-noise ratio (SNR), the obvious fault signals can be identified by time-domain tolerance matching, and the fault data close to the standard signal can be further judged by frequency domain principal value analysis. Tolerance matching in time domain and principal value analysis in frequency domain provide an effective means for diagnosing die faults of high speed screw cold heading machine.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yanyu Sun, Guoping Li, and Dongdong Gao "Research on die fault signal of high speed screw cold heading machine based on tolerance matching in time domain and principal value analysis in frequency domain", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217802 (14 April 2022); https://doi.org/10.1117/12.2631848
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal processing
Signal to noise ratio
Interference (communication)
Analytical research
Denoising
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top