Research of Multi-Input Predictive Fault Diagnosis Control System on Combine Harvester

Abstract:

In order to diagnosis the fault in a a comprehensive, real-time and simple way, a multi-input predictive fault diagnosis system was promoted based on acceleration mainly include the sensor, Signal processing,display and stepper motors.Sensor was used to acquisition the inputs such as grain loss, clogging and engine vibration.Then,the inputs was processed by the fault diagnosis algorithm promoted in this thesis to obtain diagnostic results and display the rusults in button display module. When a fault occured, stepper motor would start to work controled by a control signal to minimized the failure harm.Furtherly,the effectiveness was improved by an example. The experimental results show that the prediction method can achieve the predictive fault diagnosis and effectively simplify the computational complexity with good practicality and reality.

• Periodical: Advanced Materials Research (Volumes 971-973)
• Pages: 1296-1299
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.971-973.1296
• Online since: June 2014
• Authors: Li Xia Gong*, Jin Chen, Chang Mou Tang, Li Kou, Yi Long Wei
• Keywords: Acceleration, Combine Harvester, Predictive Fault Diagnosis

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