Research on Familiar Fault Diagnosis Technology to Electrical System of Auto Crane

Hong Xia Shi; Zhi Jian Duan; Xiao Bao Zhang; Yuan Li

doi:10.4028/www.scientific.net/AMR.875-877.2170

Paper Titles

Design and Simulation Research on Mechanical Ventilation System for Small Underground Granary
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Design of a High-Performance Programmable Filter Based on TLC7528
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An Algorithm to Separate 1090ES ADS-B Signals
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A Filtering Control Method of the Gimbal Rate-Servo System in DGMSCMG Based on Strong Tracking Filter
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Research on Familiar Fault Diagnosis Technology to Electrical System of Auto Crane
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Study on Mechanical Engineering Measurement and Control Experimental Technique
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An Intelligent Transport System Methodology to Identify and Controlling of Faulty Vehicles
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Jamming Effectiveness of Noise Amplitude Modulation Signal to Pesudo-Random Code Fuze
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Improved Dynamic Bayesian Networks in Sea-Battlefield Situation Assessment
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Research on Familiar Fault Diagnosis Technology to Electrical System of Auto Crane

Abstract:

The development of truck crane is rapid, however, due to the constraint of working condition, the fault diagnosis and elimination are difficult. Pertaining to the electrical system of truck crane, the electrical system is analyzed. The electrical system is divided into four parts, including power supply system, startup system, ignition system and the whole-car circuit. The fault phenomenon is sorted and the causes of faults are analyzed. Then the detection and repairing methods of common faults are put forward, thereby save time consumption of maintenance, improve the maintenance efficiency and provide theoretical basis for actual maintaining operation.