This paper presents condition monitoring aspects of induction motor, its present status with possible mitigation schemes and future maintenance challenges. The induction motors constitute the major portion of motors in domestic and industrial applications. These motors experience different types of failures and faults associated with insulation, bearing, stator, rotor, and eccentricity. As a matter of fact, these faults may subsequently enhance the probability of failures unless proper introspection is not accomplished. In order to reduce the failure time and operating cost, early detection is indispensable which necessitates condition-based approach on contrary to scheduled maintenance. The condition monitoring is a strong candidate to address the diagnosis of machinery failure problems and unreliability. In this context, a comprehensive analysis is reported in the literature with a focus on different methodologies being addressed for such objective. Utmost efforts are made to comprehensively analyze in the reported literature in a sequential manner citing the advantage and limitations in this paper. The authors hopefully described and illustrated the associated problems with possible mitigation in the context of condition monitoring which would be immensely helpful for future researchers working in these aspects and the future roadmap would be clearly reflected.

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This paper presents survey and review of research and development in the field of faults detection, classification and their location that occurs in the transmission network. Transmission lines are integral part of the power system network and its main aim is to transmit the generated power to the consumer with least interruption. With an ever-increasing demand of electric power day by day because of increasing industrialization and urbanization of life style, fast and accurate fault analysis is very essential for better performance and minimal interruptions in power system. Fast detection and clearing of faults in transmission lines is very important for maintaining the normal operation of power system network. This paper presents a comprehensive review of various algorithms that have been developed and used over the last few years for the detection and classification of faults in transmission lines and mainly concentrate on following algorithm and their implementation for fault analysis such as, wavelet transform (WT), discrete wavelet transform (DWT), multi-resolution analysis (MRA), Wavelet energy entropy, artificial neural network (ANN), wavelet-neuro-fuzzy approach and support vector machine (SVM). Keywords-Wavelet transform (WT), Discrete wavelet transform (DWT), Artificial neural network (ANN), Adaptive neuro-fuzzy inference system (ANFIS), Support vector machine (SVM).I.