Effective fault diagnosis in a PV system requires understanding the behavior of the current/voltage (I/V) parameters in different environmental conditions. Especially during the winter season, I/V characters of certain faulty states in a PV system closely resemble that of a normal state. Therefore, a normal fault detection model can falsely predict a well-operating PV system as a faulty state and vice versa. In this paper, an intelligent fault diagnosis model is proposed for the fault detection and classification in PV systems. For the experimental verification, various fault state and normal state datasets are collected during the winter season under wide environmental conditions. The collected datasets are normalized and preprocessed using several data-mining techniques and then fed into a probabilistic neural network (PNN). The PNN model will be trained with the historical data to predict and classify faults when new data is fetched in it. The trained model showed better performance in prediction accuracy when compared with other classification methods in machine learning.

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This paper presents a wideband low voltage tunable CMOS filter for wireless transceivers systems. The proposed filter attempts to optimize the performance of the circuit as it operates at relatively low voltage providing wide tunable range at the same time. It is constructed using Gm-C technique employing three Operational Transconductance Amplifiers (OTA) and two grounding capacitors. The filter is of second order with cutoff frequency () at 5 MHz and Quality factor of 1. The filter also exhibits independent electronic tuning of () and quality factor (Q) providing more accuracy in its frequency response. Also, its circuit can also be synthesized to produce multiple other filter frequency responses by varying inputs which can be beneficial in other applications. The OTA is the main active element in the filter operating at input supply voltage of 1 V and having open loop dc gain of 38 dB with power dissipation of 270 uW. The unit gain frequency is at 36 MHz and the phase margin angle is at 65 degrees. Simulations are done in HSPICE using CMOS 0.18µm process parameters as functional verification of the presented theory.

Recently, wireless power transmission has attracted much interest and is the subject of much research in industry and academia. As its name implies, it is a technology which involves transferring power without wires. This paper presents the design of an ICT-based wireless power transmission system. The proposed system consists of a wireless transceiver unit and high-efficiency coil unit, which can increase both the transmission efficiency and the effective power distance. In particular, the wireless transceiver unit was designed to work with the ICT technique to enable real-time remote monitoring. Also, studies were done relating to the effect of reducing the standby power. The optimal frequency of IGBT devices used in industrial wireless power systems of 20 [KHz] was utilized. The values of 23.9[ ] and 2.64 [] were selected for L and C, respectively, through many field experiments designed to optimize the system design. In addition, an output current controlling algorithm was developed for the purpose of reducing the standby power. The results presented in this paper represent a 75[%] to 85[%] higher power transmission efficiency with a 10[%] increase in the effective power transmission distance compared with the existing systems. As a result, the proposed system exhibits a lower standby power and maintenance costs. Also, the designed wireless transceiver unit facilitates fault detection by means of user acquired data with the development of the ICT applied program.