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An overview of science papers in the field of machine diagnosis has exposed increasing efforts in developing accurate and reliable engine health monitoring systems. Attempts have been made in both diagnostics and prediction of system faults. Essential limitations of the standard monitoring system are discussed in this paper as well as arguments for implementation of the Advanced Gas Turbine Health...
The paper presents the application of Artificial Neural Networks (ANNs) for finite element (FE) models updating. The investigated structures are beams and frames, their models are updated by ANNs with input vectors composed of dynamic characteristics of structures measured on laboratory models. The ANNs (multi layer feed-forward networks and Bayesian neural networks) are trained on numerical data...
A new fault diagnosis system is proposed to recognize the faults of gear box in this paper by using the NMF-based characteristics extracting method and the neural networks technique. The results show that this method is effective for the fault diagnosis of gear box.
In this paper we analyzed the restriction factor of the stack crane speed, and put forward the adaptive control method of variable speed for stacker. Using the method of neural network we established the relationship between the highest permitted speed and carrying weight, carrying height of stacker. Finally we designed the control system of stacker based on neural network. It is improved that this...
A three-degree-of-freedom nonlinear dynamic model of the highline cable of Underway Replenishment System(UNREP) was developed, which considered the influence of the incline angle, the motion of the support point and the geometrical of the highline cable. The partial differential equations of the two half of the highline cable were discretized to system of ordinary differential equations (ODE) by Galerkin...
A novel method to diagnose the bearing fault is presented. The proposed method is based on the analysis of the bearing vibration signals using Singular Spectrum Analysis (SSA). SSA is a non-parametric technique of time series analysis that decomposes the acquired bearing vibration signals into an additive set of time series to extract information correlated with the condition of the bearing. Information...
The influence of blasting vibration to surroundings around the blasting area can not be ignored, in order to guarantee the safety of surroundings around blasting area, blasting vibration forecasting model based on neural network is established by improved BP neural network in this paper. The inputs of the model are the largest single fire dynamite, height difference and horizontal distance between...
Study the three axis motion state of a three-axis rotating Micro-mechanical vibrating gyroscope, the gyro have only one sensitive quality, can sensitize the three axial angular velocity of the rotating carrier at the sane time. Through the theory, in the case of gyro's spin angular velocity presence and pitch or yaw angular velocity worked, the gyro's output signal characteristics has been analysed,...
This paper presents a trajectory planning method for saving the operating energy of a flexible manipulator in point-to-point (PTP) motion. An artificial neural network (ANN) is employed to generate the desired joint angle, and then, particle swarm optimization (PSO) is used as the learning algorithm. The sum of the motor torques is adopted as the objective function in the PSO algorithm. By operating...
This paper discusses neural network technique for fault diagnosis of a cracked cantilever beam. In the neural network system there are six input parameters and two output parameters. The input parameters to the neural network are relative deviation of first three natural frequencies and first three mode shapes. The output parameters of the neural network system are relative crack depth and relative...
Motor systems are highly important and are critical components in industrial processes. Up to 60% of the electricity produced in the U.S. converts into other forms of energy to provide power to equipment through motor [1]. Machinery reliability and performance can be improved with early fault diagnosis and condition monitoring; therefore, the fault diagnosis system for motor has been highlighted for...
The electromagnetic characteristic and rotor vibration characteristic of turbine-generator are analyzed when rotor winding inter-turn short circuit fault has happened. This paper reveals that exciting magnetic force Ff is constant in a fixed condition whereas the exciting current If increases in case of rotor inter-turn fault. This paper also finds relevant characteristic parameters. Based on the...
In the present study, an expert system is developed to identify and classify fault condition for diesel engine. Vibration signals are collected on a diesel engine test platform. Wavelet packet analysis (WPA) coefficients of vibration signals are used for evaluating their Shannon entropy and treated as the features to identify the fault conditions of diesel engine in the preprocessing. A back-propagation...
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