Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
All instrumentation systems pertaining to industrial process controls as well as domestic application involves automatic fault finding facility. This facility detects the faulty condition of the system and draws the operator's attention towards it and enables to take suitable remedial actions to ensure proper operations of the system. The main purpose of all FDI methods is to monitor the system operations and in case of faults, accommodate the source of faults, so that timely corrective actions are taken. Fault Detection simply involves a decision, based on the monitoring data as to whether there is a fault or the system is running normally. Fault Isolation is then executed to identify the type and location of a fault after the fault detection has triggered an alarm so that corrective actions can be made. These two steps are known as Fault Detection and Isolation (FDI). Fault diagnosis is referred to as the combination of fault detection, identification and isolation. It is one such method of Annunciation in which the activation of visual or mechanical variable takes place when a removed switch or device has been activated as a result of fault in certain systems and an audio alarm may also be associated with annunciations. This FDI system is defined and the existing technique is to detect & isolate the fault with online parameter programming facility. The main advantage of the proposed approach of Control System based fault detection and isolation is its low cost. Low cost in terms of components used makes affordable in terms of easy handling and maintenance and various sensors can be used to give different types of input signals to circuit. An additional advantage is that the real time system still works when the host crashes, the matter that increases the reliability of the system & Data-logging facility can also be provided. A data-logger captures any measurement values which can be represented by a voltage. Nowadays, sensors and transducers are available for, practically, any physical quantity. The function of data-logger is to capture and store a specified number of sensor measurement values at predefined intervals and transfer the data, including date and time to a PC in the form of file.
Induction Motors have many applications in the industries, because of the low maintenance and robustness. The speed control of induction motor is more important to achieve maximum torque and efficiency. The rapid development of power electronic devices and converter technologies in the past few decades, has made possible efficient speed control by varying the supply frequency and voltage, giving rise to various forms of adjustable-speed Induction Motor drives. In about the same period, there were also advances in control methods and Artificial Intelligence (AI) techniques, including expert system, fuzzy logic, neural networks and genetic algorithm. Researchers soon realized that the performance of induction motor drives can be enhanced by adopting Artificial Intelligent based methods. This paper presents an integrated environment for speed control of Induction Motor (IM) using artificial intelligent controller. The integrated environment allows users to compare simulation results between classical and artificial intelligent controllers. The fuzzy logic controller and artificial neural network controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. The performance of fuzzy logic and artificial neural network based controllers is compared with that of the conventional proportional integral controller. The performance of the Induction motor drive has been analyzed for constant and variable loads.
Fractional Order PI Controller Technique (FOPIC) offers success due to emerging of effective methods in differentiation and integration of the no integer order equation. In this research, the controller design using FOPIC is determined for a nonlinear system. The nonlinear system is taken up for the study is a spherical tank which is approximated to a first order system. Simulation is made by the MATLAB software.
A novel open end slot antenna for UWB application is proposed in this paper. It occupies a compact size of 2 23.5×23.5mm2 . Multiple resonances are generated by using an asymmetrical rectangular patch with the L-shaped open-slot structure. The proposed antenna provides wide bandwidth from 3.1 GHz to 11.02.6 GHz with -10 dB return loss.
SVD transformation has gained a wide popularity in the field of digital watermarking due to its characteristics. In this paper, the detailed analysis of SVD based watermarking algorithms are presented. The authors discuss in detail about the unique features of SVD transformation and working principles of the typical SVD based image watermarking algorithms that also elaborate the advantages and disadvantages of each.