Study on Fault Diagnosis Technology for Band Sawing Machine

Guo Jin Chen; Jing Ni; Ting Ting Liu; Hui Peng Chen; Ming Xu

doi:10.4028/www.scientific.net/AMR.718-720.1160

Paper Titles

Analysis Methods of Images Surface of Fast Tempered Alloys
p.1140

Truck Scale Remote Weighing Monitoring System Based on the CAN
p.1146

Analog Circuit Fault Diagnosis Based on Volterra Series
p.1150

The Application of High Precision Three-Dimension Thermal Deformation Measurement on the Temperature Property Design of Microwave Equalizer
p.1155

Study on Fault Diagnosis Technology for Band Sawing Machine
p.1160

Multi-Sensor Data Fusioning of Monitoring Deep-Hole Drill Bit
p.1165

The Theory of Using an Intensity-Correcting Algorithm to Overcome Quantization Error for Phase Measuring Profilometry
p.1170

Design of a Data Analysis Software about On-Board EV Charger Test
p.1175

Fabrication and Calibration of a Thin Film Heat Flux Sensor
p.1181

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720Study on Fault Diagnosis Technology for Band...

Study on Fault Diagnosis Technology for Band Sawing Machine

Abstract:

Aiming at the low automation level and the non-completeness of the fault diagnosis technology for the band sawing products in China and in our province, this paper studied the digital control system based on extracting the flutter amplitude characteristics of the band saw blades in real time, developed the adjustable device which clears the sticky chips between the saw teeth based on the brush friction change according to the inclination angle Φ between the brush disk and the saw blade, and designed the state recognition system for the hydraulic oil circuits of the sawing machine based on detecting real-timely the oil temperature, pressure, flow rate and hydraulic cylinders displacement and transmitting wirelessly. So it can improve the grade, efficiency, reliability and service life for the band sawing machine.

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Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

1160-1164

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.1160

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Online since:

July 2013

Authors:

Guo Jin Chen, Jing Ni, Ting Ting Liu, Hui Peng Chen, Ming Xu

Keywords:

Band Saw Machine, Digital Control System, Fault Diagnosis, Flutter Amplitude Characteristics, State Recognition System

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References

[1] ZHU Jie, CHEN Guo-jin, WANG Wan-qiang, "Applying FPGA on Frequency Convert System of SVPWM," Mechanical & Electrical Engineering Magazine, Vol. 22, No. 4, p.22–25, 2005.

Google Scholar

[2] CHEN Guo-jin, YAO Zhai-rong, SUN Hong, "Realization of AC Motor Vector Control Based on DSP," Mechanical & Electrical Engineering Magazine, Vol. 21, No. 6, p.27–30, 2004.

Google Scholar

[3] WANG Tao, CHEN Guo-jin, NI Jing, "Design and application of electric control system on pattern drawing machine," Journal of Mechanical & Electrical Engineering, Vol. 29, No. 4, p.413–416, 2012.

Google Scholar

[4] LI Yong-ning, YANG Hua, CHEN Guo-jin, "Application of μC/OS-Ⅱ in digital welder control system," Journal of Mechanical & Electrical Engineering, Vol. 28, No. 7, p.827–830, 2011.

Google Scholar

[5] CHEN Guo-jin, CHEN Hui-peng, CHEN Li-ping, "Research on multidisciplinary modeling and robust control for electric power steering system," Advanced Materials Research, Vol. 179-180, pp.179-185, 2011.

DOI: 10.4028/www.scientific.net/amr.179-180.179

Google Scholar

[6] CHEN Guo-jin, DENG Kai-ping, GONG You-ping, "The Design and Simulation of Walking Hydraulic Transmission System of Loader HT25J," Mechanical Engineer, No. 6, p.46–49, 2012.

Google Scholar