Liangcai Zeng

The Fault Diagnosis for Electro-Hydraulic Servo Valve Based on the Improved Genetic Neural Network Algorithm

The paper analyzes the merits and drawbacks of the genetic algorithm and BP neural network, combines with the improved genetic algorithm and BP neural network to obtain a new algorithm. The new algorithm is used in the fault diagnosis of electro-hydraulic servo valve and justified its validity, accuracy and rapidity by experiment. The BP algorithm, the conventional GA-BP algorithm and the improved GA-BP algorithm are compared by the data of experiment. It is shown the superiority of the improved GA-BP algorithm in the fault diagnosis field

BP neural network-based on fault diagnosis of hydraulic servo-valves

This paper presents a new approach for fault diagnosis of hydraulic servo-valves with the BP neural network based on genetic algorithm. The paper uses a known set of faults as the output to the valve-behavior model. An appropriate neural network is established to be the best solution to the problem. Adoption of this approach brings about advantages of shortening training time and high-accuracy when compared with other artificial neural network.

A genetic algorithm-based neural network approach for fault diagnosis in hydraulic servo-valves

The hydraulic servo-valve is the key component of the electro-hydraulic system. But it is difficult to diagnose faults in a hydraulic servo-valve. In this paper, a Genetic Algorithm-based Artificial Neural Network model for fault diagnosis in hydraulic servo–valves is proposed. We use a known set of servo-valve faults as the outputs to the valve-behavior model. Adoption of this approach brings about the advantages of reducing training time and increasing accuracy when compared with the traditional Back Propagation Neural Network.

Dynamic simulation and research on hydraulic guide system of automatic vertical drilling tool

Abstract Automatic vertical drilling tool is a high technology drilling system that contains downhole closed-loop control system, can correct oblique initiatively and maintain the wall of the well vertically. Hydraulic guide system is the core component of the automatic vertical drilling tool. This paper designed a hydraulic guide system and established the mathematical model of the hydraulic system. The pressure dynamic response characteristics of the system was analysed by Matlab/Simulink. The results show that the system can provide a stable steering force to meet the well deviation correcting requirements. The experimental study on the hydraulic steering system shows the validity of the system simulation.