Title :
Research and Design of Tower Crane Condition Monitoring and Fault Diagnosis System
Author :
Yu, Yang ; Zhao, Zhenlian ; Chen, Liang
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
Tower cranes are playing an important role in hoisting apparatus, while reducing tower crane accident and improving crane safety performance are always urgent. C8051F020 SCM is selected as the core of this system, and many advanced technology such as multisensor data acquisition, expert system and neural network are to be used. The system has self-contained condition monitor in and fault diagnosis function, stable performance and friendly interface, provides the powerful guarantee for efficient and safe operation.
Keywords :
accident prevention; condition monitoring; construction equipment; cranes; fault location; poles and towers; C8051F020 SCM; cranesafety performance; fault diagnosis system; hoisting apparatus; tower crane accident; tower crane condition monitoring; Artificial neural networks; Cranes; Expert systems; Fault diagnosis; Monitoring; Poles and towers; Real time systems; Fault diagnosis; tower crane Condition monitorin;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.322
