Fault Diagnosis For Excavator Working Device Based On Artificial Neural Networks

The excavator is an important category in the engineering machinery, having already thrown in the work in agriculture and industry.But in the long-term practice, people find it very hard in the maintenance and repair.Because the excavator hydraulic pressure system work in a circle, its status monitor change difficult to achieve, beside a handful of few quantisty of states that can be measured through the sensor, most character value which contain abundant information for example flow was hard to gain because of the high measuring cost, while appearing an excrescent circumstance in the excavator working process, can with experience or the simple instrument to check, the working efficiency is low and consumes largely ,corresponding the maintenance cost to also rise significantly .how to get the fault information from existing several quantisty of state that measure easily is what people are studying continuously for.With the development of the modern failure diagnosis theory, especially the artificial intelligence, make the failure diagnosis theory and method get a substantial development, the new failure diagnosis technique appear one after another, this provided a new path for the failure diagnosis of the excvavtor working device hydraulic pressure system.this thesis was baseded on the existing excavator working device failure diagnosis system, combining with advanced data processing techniques such as artificial neural networks and wavelet analysis etc., carrying on the status monitor and failure diagnosis to each hydraulic component and the system of excvavtor working device .under the exsting measurement parameter, the monitor accuracy and the monitor range rise significantly, the accuracy of the diagnosis also has increase.for the sake of accurate measure and deliver of fault information data, this thesis introduce CAN electric mains.The intelligence point of the field bus is in addition to can collect signal accurately, can also with the initial transaction of the signal, this can be useful to ease the host.The special communication structure of CAN electric mains, can lower inner...