The Research Of The Down-hole Work Condition Diagnosis Technique On The Rod Pumping System

In this paper, the key to the down-hole fault diagnosis of the pumping system lies in obtaining the down-hole pump diagrams. A numerical analysis method is given by combining iterative algorithm with finite difference method, the algorithm may be used to solve the diagnosis model of the rod pumping system, gain dynagrams of the eccentric pump and the tube pump, so that the neural nets is applied to recognize the dynagrams. A pretreatment method of embedded mode DSP processor for ground dynagrams is proposed in order to realize the intelligentization of fault diagnosis of the rod pumping system of double-layer separate recovery in the paper. The method can realize to recognize the real dynagrams by a computer and gain two boundary conditions that are applied to solve the diagnosis model. One condition is relation between load and time, other condition is relation between displacement and time.Along with the rod pumping system of double-layer separate recovery is applied popularly, its static and dynamic behavior need analyzing, and its prediction model needs to establish. In the paper, an explicit difference method has been proposed in order to solve the prediction model, and then the mechanical state of case section of rod string can be gained, the dynagrams can be drawn. These provide theory basis for design, parameters selection and fault diagnosis of the pumping system.In the paper, the topological structure and algorithm of the BP neural nets are discussed. The shortcomings of the BP algorithm are summed up. The various influencing factors of the generalization capability of the BP neural nets are analyzedemphatically. It is explained how to gained the top-quality and representative samples.