Analyze concrete pump for pumping the hydraulic system failure occurred, concrete pump manufacturers [www.xdhntbc.com/31mhntbc/] proposed three methods for local and remote back-end pump hydraulic system fault diagnosis. 1, based on the hydraulic system fault diagnosis method parameters during normal operation, the system parameters are in the vicinity of the design and the set value, if these parameters deviate from the predetermined value, the system will malfunction or failure. Based on this combination of logical analysis to quickly and accurately identify the fault lies. This approach takes the measured signal mainly pressure, temperature and acceleration. With main relief valve failure, for example, when the cartridge main relief valve stuck in the next place, the system pressure is close to zero, the other fault can not make the system pressure drop to zero. 2, the hydraulic system fault diagnosis method based on signal analysis of the many failures are difficult to diagnose based on simple parameters through simple logic judgment. Therefore, the need for signal acquisition are analyzed and processed to extract the characteristics of fault-sensitive. To swing cylinder vent, for example, Intuitively, swing cylinder system pressure drop, but lead to swing cylinder system pressure drop for many reasons, such as the internal gear pump vent, for the right swing cylinder correlation coefficient can be obtained swing cylinder vent one mapping relationship between changes and the correlation coefficient. When the correlation coefficient is less than 1, then placed inside the cylinder leakage occurred. 3, intelligent diagnostic method for some complex hydraulic system fault diagnosis and analysis, using the above method may be more difficult to put forth intelligent diagnostic methods. When the traditional neural network analysis methods often need to have enough samples for training, when not training failure, you need to re-train network model, such a waste of time and did not save before learning knowledge. In this regard, proposed the use of fault diagnosis FAM (Fuzzy ARTMAP) neural network model. Network structure of the model consists of two sub-modules Fuzzy ART (ART1 and ART2) and connect the two modules mapped field (Map Field), of which the module input sample ART1 achieve pattern clustering, ART2 module output pattern clustering, and each module by regularization layer, the input layer and the classification layer, while the mapping field to achieve the mapping between input and output clusters among clusters. These are the concrete pump manufacturers for you to order diagnostic concrete pump hydraulic failure three commonly used methods, hoping to bring help for your future work. [Fengqiu County Xinda Lifting Equipment Co.: www.xdhntbc.com] zq