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Thermally induced motion of flexible solar panel have significant impact on attitude dynamics and control when the spacecraft experience eclipse transitions. Based on angular momentum theorem thermally induced attitude dynamics of rigid hub with a flexible solar panel is developed. The principle of thermally induced vibration is explained. Thermally induced disturbance toque which initiates attitude...
In this paper, we investigate the problem of autonomous integrated navigation of strapdown inertial navigation system (SINS)/ celestial navigation system (CNS) for a ballistic missile. To handle the nonlinear missile dynamic model, three filtering methods including extended Kalman filter (EKF), extended Kalman particle filter (EKPF) and unscented particle filter (UPF) are utilized to fusion the integrated...
A challenging problem in aircraft engine health management (EHM) system development is to detect and isolate faults in system components (i.e., compressor, turbine), actuators, and sensors. Existing nonlinear EHM methods often deal with component faults, actuator faults, and sensor faults separately, which may potentially lead to incorrect diagnostic decisions and unnecessary maintenance. Therefore,...
Prognosis is a fundamental enabling technique for condition-based maintenance (CBM) systems and prognostics and health management (PHM) systems and therefore, plays a critical role in the successful deployment of these systems. The purpose of prognosis is to predict the remaining useful life of a system/subsystem or a component when a fault is detected. Although different prognostic algorithms have...
Managing and reducing prognostic uncertainty is of significant importance to the success of PHM applications. The focus of prognosis uncertainty management is to identify and manage the reducible uncertainties by applying available data using appropriate uncertainty management algorithms. Particularly for dynamic model-based systems, opportunities exist to apply nonlinear filtering to provide a systematic...
Effective uncertainty management processes are essential elements in the design of prognostic modules if they to be viable for Integrated Vehicle Health Management (IVHM) systems. Modeling uncertainty, measurement and estimation uncertainties, future load uncertainty, among other factors, all potentially contribute to prognostic uncertainty. This paper analyzes the source of uncertainties in typical...
The research presented the supply chain operation model based on networked manufacturing. It employs the Object-oriented Petri Net(OPN) to analyze the process of supply chain. The model of each object who takes part in supply chain operation was designed and the synthetical model was presented. Then, some properties such as deadlock, overflow and conflict can be analyzed. In such supply chain operation,...
In order to establish the configuration relation of complex product structure, a new product structure configuration model based on polychromatic graph theory was presented. Then the optimum product structure configuration mathematical model was got and the improved ant colony algorithm was employed to solve the problem. Therefore, the prototype system was developed on the basis of the model. The...
Partners selection and evaluation is one of the most vital actions of companies in a product design chain. Moreover, decision support is an important part of cooperative design. Selecting the right partner is the assurance of cooperative design. In order to improve reliability and scientificalness, a method of partner evaluation based on BP neural network and PCA is presented. An evaluation index...
Aiming at the problems of selection for motor parameters and mechanism design of the turn-milling centre, the model of the machining centre is simulated kinematically and dynamically by virtual prototyping technology. A 3D model of the machining centre is developed by UG software, and the assembly model is transformed into ADAMS to form a virtual prototype simulation model based on multi-body dynamics...
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