Solar radiation is a critical requirement for all solar power plants. As it time-varying quantity, the output of any plant also time variant in nature. Hence, prediction probable electricity generation few days advance, plant, forecasting into future vital. Hourly advance may help utility or ISO bidding process. In this study, 1-day-ahead to 6-day-ahead hourly was been performed using MARS, CART, M5 and random forest models. The data required were collected from resource setup, commissioned...

Fault detection and diagnosis is the most important technology in condition-based maintenance (CBM) system for rotating machinery. This paper experimentally explores development of a random forest (RF) classifier, recently emerged machine learning technique, multi-class mechanical fault bearing an induction motor. Firstly, vibration signals are collected from using accelerometer sensor. Parameters signal extracted form statistical features used as input feature classification problem. These...

The point of this paper is to illustration a speed Controller DC motor by decision PID parameters using Genetic Algorithm (GAs), the widely used as part various applications, for example, steel plants, electric trains, cranes and significantly more. could be spoken nonlinear model when nonlinearities, interesting dissemination considered. To give successful control, nonlinearities instabilities in must considered control plan. third request framework. Target arrange tuning strategies...

The Fast Fourier Transform (FFT) method is successfully used for the broken rotor bar fault detection purpose in induction machines. It based on common-steady state analysis of motor. This with Motor Current Signature Analysis (MCSA) technique last three decades. However, this suffered from some serious drawbacks such as; it applicable only constant load condition not variable load. frequency-domain methods which are commonly need accurate slip estimation frequency components localization...

The electro-cardiogram (ECG) is graphical representation of electro-mechanical activities the heart. It reflects state heart and very much useful in disease diagnosis. Since, ECG signal contains high frequency noise which well known as power line interference hence, it must be removed for further processing This paper presents an algorithm, developed denoising from based on moving average filter. filtering process followed by algorithm smoothing using polynomial curve fitting. Its...

ECG is basically the graphical representation of electrical activity cardiac muscles during contraction and release stages. It helps in determination arrhythmias a well manner. Due to this early detection can be done properly. In other words we say that bio-potentials generated by results an signal called Electro-cardiogram (ECG). acts as vital physiological parameter, which being used exclusively know state patients. Feature extraction plays role manual automatic analysis for use specially...

The current paper shows the modeling, controller design and simulation of Permanent Magnet Synchronous Motor (PMSM) drive. As deals with use neural network methods to implement control PMSM hence two are used-For inner loop Hysteresis is used for purpose outer speed PI used. conventional Proportional-Integral (PI) in industries because its robustness but when dynamics system changes time or certain operating conditions, PID can't be solution that alters this situation Artificial Neural...

Solar Radiation Forecasting plays a very important role for integration of solar power plant with conventional plant. As it can predict how much be generated by any powered in next few days. For short time load management day-a-head forecasting is required. In this paper, 6-day-a-head radiation has been done using various multivariate ANN models. this, Feed forward Neural Network, Back Propagation Deep Learning Network and Model Averaged have compared on the basis Statistical Indicators. One...

The demand of electricity is increasing day by throughout the world. Due to limited amount fossil fuel it important design some new non-renewable energy systems that are able decrease dependence on conventional resources. A hybrid off-grid renewable system may be used dependency Optimization a process select best combination component and there cost provide cheap, reliable effective alternative resource. In this paper photovoltaic system, wind turbine, diesel generator, battery backup...

Several techniques have been developed during the last four decades for compression of ECG signal. The signal is required two main reasons, effective and economic data storage on-line transmission However, in present information technology (IT) has become more significant Telemedicine. Hence, it essential to review existing direct (DDC) purpose telemedicine. This paper deals with efficient algorithms which after carrying out an exhaustive study methods such as amplitude zone time epoch...

An adaptive control law encompasses a regulating rule compensating for system dynamics variations by adjusting the controller characteristics to maintain overall performance. Recently, some techniques have been developed based on fundamental aspects of adaptability living organisms. The method is technique that measures dynamic plant automatically and continuously make comparison with its required output. It utilizes difference between these two commute adaptable parameters optimal...

ECG is basically the graphical representation of electrical activity cardiac muscles during contraction and release stages. It helps in determination arrhythmias a well manner. Due to this early detection can be done properly. In other words we say that bio-potentials generated by results an signal called Electro-cardiogram (ECG). acts as vital physiological parameter, which being used exclusively know state patients. Feature extraction plays role manual automatic analysis ECG. paper study...

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Plan of this paper a investigation and implementation controllers such as PID controller G.A based for speed control DC motor. Simulation results have established that the use GA-PID. A motor is significant good dynamic, reliable behavior motor, great tracking with lowest overshoot, gives enhanced performance high strength than those obtained by other controller. The broadly used in many applications like steel mills, electric trains, cranes much more. In dissertation separately excited dc...

In control engineering, Inverted Pendulum Systems (IPS) stability analysis is crucial. this paper, a normal MIT (Massachusetts Institute of Technology) rule, fractional-order (FOMIT) rule and modified rule-based Model Reference Adaptive controller (MRAC) have been designed to stabilize IPS. The nature the performance IPS has also analyzed track stable reference model. After implementation all three mentioned methods, it found that MRAC using standard unable FOMIT method necessitates higher...