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In material handing operations, raw materials are often stacked in a number of layers and subsequently reclaimed by benches. The quality grade may be different between layers. Also, the blending effect happens simultaneously with the stacking and reclaiming operations, how to meet the target grade required by the customers while lowering operation costs are rising academic concerns. By acquiring the...
The soaring number of diabetes patients in many metropolitan cities makes mass-produced wearable glucose meters a very profit sector of the medical device industry. Two vitally important factors in the manufacturing of consumer medical devices are reliability and safety. These devices need to be manufactured at the lowest possible cost and must operate predictably according to design specifications...
Electricity-stealing defense is one of the chief steps in distribution network reconstruction. The electronic energy meter is an important invention for measurement energy power system, which is an effective measures for the electricity-stealing defense. And one-time seal technology makes stealing ways reduced to the limited several specific ways that are undercurrent tecnology, undervoltage teconology...
A fault knowledge base management platform which uses the method of ADO.NET and directed graph is presented in this paper in order to deal with prognosis health management for electrical control system. At first, knowledge base is designed according to structure and function of the system, with hierarchical framework is taken into consideration to represent the relationship of electrical apparatus...
Vibration signals used for abnormality detection in machine health monitoring (MHM) suffer from significant variation with fault severity. This variation causes overlap among the features belonging to different types of faults resulting in severe degradation of fault detection accuracy. This paper identifies a new problem due to severity variant features and proposes a novel adaptive training set...
This paper studies the stator currents collected from several inverter-fed laboratory induction motors and proposes a new feature based frequency domain analysis method for performing the detection of induction motor faults, such as the broken rotor-bar or bearing fault. The mathematical formulation is presented to calculate the features, which are called FFT-ICA features in this paper. The obtained...
In this paper, 5 key geometrical factors: the area ratio between the nozzle and constant-area section, nozzle exit position, diverging angle of nozzle, converging angle of mixing section and the length of constant-area section and different back pressures are considered to investigate the ejector performance under 209 working conditions with CFD model which is calibrated by experimental data. It is...
This paper presents a grid connected squirrel cage induction generator (SCIG) driven by a back-to-back converter in variable speed wind turbine system. The back-to-back converter is composed of the machine side converter coupling to the line side connected together via DC bus capacitor. Both converters used the vector control and decoupling control in the d-, q-axis reference frame. The control objectives...
In China and other developing countries, the electricity retail pricing structure is still based on customer classification, and capacity cost allocation is a long-term and important issue. To allocate capacity cost for various customers is relation to their time-varying load characteristics. For this, the paper in-depth analyses the relationship between the power system generation capacity responsibility...
Computational Fluid Dynamics (CFD) technique is employed to investigate the effects of four geometry parameters: nozzle divergent part length, nozzle exit position, mixing chamber length and diffuser length on the performance of ejector in the solid oxide fuel cell (SOFC) system. 216 simulation cases are conducted to fully study the influence of four parameters on the ejector performance and steam...
Conventional implantable sensors are often battery operated. Batteries are characterized by their high energy densities which allow for long term operation. However, it can take a long time to charge up a battery. As an emerging technology, a supercapacitor can be charged very quickly and it is considered as alternative energy storage to replace traditional batteries. This paper proposes an implantable...
In this paper an adaptive backstepping control system is proposed to control the rotor position of a permanent magnet synchronous motor (PMSM) drive using recurrent fuzzy neural network (RFNN). First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control...
To the unique large-scale perturbations of structural modal parameters, the elastic model and the modal parameter identification model of hypersonic vehicle is founded and the adaptive vibration suppression system is designed. Based on the robust Hco filter and LQR optimal control technology, the rigid controller is designed. Using Kalman filtering, the modal frequency can be identified on-line. Simulation...
This paper proposes a novel dynamic surface control (DSC) algorithm for a class of uncertain nonlinear systems in completely non-affine pure-feedback form. Instead of using the mean value theorem, we construct an affine variable at each design step and then neural network is employed to deduce a virtual control signal or an actual control signal. As a result, the unknown control directions and singularity...
This paper presents a nonlinear adaptive observer to estimate the annular pressure profile throughout the well bore continuously while drilling. A simple mechanistic model is presented that captures the dominant phenomena of the drilling system and forms the basis for model-based observer and control design. A new nonlinear adaptive observer is developed for state estimation and parameter estimation...
An online neural network compensating algorithm for wing distortion influence on transfer alignment is proposed in the paper, which avoids augmenting measurement noise and system state in conventional methods. The wing distortion is modeled as the multi-order colored measurement noise firstly. Then the modified Kalman filter for solving the problem is derived. To compensate the noise and carry out...
In this paper, we present a real time biologically motivated 3D motion classifier cells integrating the depth information generated from a stereo input implemented in an active vision system. The proposed approach is accurately able to detect and estimate multiple interfered 3D complex motions under the absence of predefined spatial coherence. Moreover, the system has ability to examine the response...
For improving the accurate and the real-time requirement of indoor robots in environmental visual perception, a new model of visual perception based on image multi-feature fusion with iterative learning control is proposed. The hierarchical match mode is used to match real-time collected images of indoor robot with various multi-directional and multi-state images in a database. After establishing...
Monolithic Active Pixel Sensors (MAPS) are intended to be used in STAR experiment at relativistic heavy ion collider (RHIC) accelerator for their good performances on particle tracking. Based on commercial CMOS processes, SRAMs built in MAPS are vulnerable to single event latch-up (SEL). Two SEL immunity memory cells are proposed in this paper for construction of radiation tolerant memories. The radiation...
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