No abstract

Fault detection and isolation are related to system monitoring, identifying when a fault has occurred, and determining the type of fault and its location. Fault detection is utilized to determine whether a problem has occurred within a certain channel or area of operation. Fault detection and diagnosis have become increasingly important for many technical processes in the development of safe and efficient advanced systems for supervision. This paper presents an integrated technique for fault diagnosis and classification for open-and short-circuit faults in three-phase inverter circuits. Discrete wavelet transform and principal component analysis are utilized to detect the discontinuity in currents caused by a fault. The features of fault diagnosis are then extracted. A fault dictionary is used to acquire details about transistor faults and the corresponding fault identification. Fault classification is performed with a fuzzy logic system and relevance vector machine (RVM). The proposed model is incorporated with a set of optimization techniques, namely, evolutionary particle swarm optimization (EPSO) and cuckoo search optimization (CSO), to improve fault detection. The combination of optimization techniques with classification techniques is analyzed. Experimental results confirm that the combination of CSO with RVM yields better results than the combinations of CSO with fuzzy logic system, EPSO with RVM, and EPSO with fuzzy logic system.

No abstract

No abstract

No abstract

No abstract

In this paper, a new method for automatic synchronization of alternator has been developed without the necessity of manual interpretation. Any Alternator can be connected automatically to the infinite bus bar with this developed control unit. The phase voltage, phase angle, phase sequence and frequency of the incoming alternator is compared with the reference infinite bus bar with the help of various sensing modules and interpreted by microcontrollers. If the conditions are observed to be optimistic then automated synchronization is done with a prior indication. The system is entirely automated and works entirely on LabVIEW environment. This synchronization technique is cost-effective, reliable, fast and precise to be used for measurement, control, monitoring and parallel operation of alternator. This research is made to overcome the drawbacks of manual methods of alternator synchronization.

The emergence of Smart Grid (SG) plays a vital role in energy generation and distribution system. As SG is the association of numerous applications, this can be properly utilized to reduce the energy consumption. Hence, in this work, a new architecture is proposed to optimize the usage of RES effectively. This proposed architecture utilizes IoT for gathering the power consumption profile of the devices. Based on this profile, a schedule for a device is generated by the Micro Grid. The analysis shows the efficiency of proposed architecture.