Fuzzy logic approach in power transformers management and decision making
- Authors: Arshad, Muhammad , Islam, Syed , Khaliq, Abdul
- Date: 2014
- Type: Text , Journal article
- Relation: IEEE Transactions on Dielectrics and Electrical Insulation Vol. 21, no. 5 (2014), p. 2343-2354
- Full Text: false
- Reviewed:
- Description: The degradation of insulation systems is a complex physical process, many parameters act at the same time thus making the interpretation extremely difficult. The insulation is very much responsive in transformer serving closer to design life. Strategic maintenance and operational procedures are best formulated where the condition of existing unit has been accurately assessed. To facilitate asset management and decision making, asset's condition assessment is vital using reliable, non-intrusive diagnostics and monitoring tools together with expert system. Transformer assessment can be carried out effectively by identifying and integrating its criticalities using fuzzy logic technique. In this research, asset management and decision making model has been developed using diagnostics and data interpretation techniques based on fuzzy logic approach. Enhance reliability could be achieved by integrating real time condition monitoring, maintenance, management activities and cost effective optimization techniques. This model facilitates effectively to address criticalities and allow better planning, maintenance approach as well as to predict the remnant life of the asset within a practical accuracy.
A joint SLM and precoding based PAPR reduction scheme for 5G UFMC cellular networks
- Authors: Baig, Imran , Farooq, Umer , Hasan, Najam , Zghaibeh, Manaf , Arshad, Muhammad , Imran, Muhammad
- Date: 2020
- Type: Text , Conference paper
- Relation: 2020 International Conference on Computing and Information Technology, ICCIT 2020, Tabuk, Saudi Arabia, 9 September to 10 September 2020, 2020 International Conference on Computing and Information Technology, ICCIT 2020
- Full Text: false
- Reviewed:
- Description: Universal Filtered Multi Carrier (UFMC) waveform has been recommended for 5th Generation (5G) cellular networks due to its robustness against synchronization errors and short-packet burst support. However, the UFMC suffers from high Peak-to-Average Power Ratio (PAPR) problem. The high PAPR degrades the efficiency of High Power Amplifier (HPA) and makes the UFMC transmitter inefficient. This paper combines Selective-Mapping (SLM) and Generalized Chirp-Like (GCL) Precoding to minimize the high PAPR of UFMC system. Simulations in MATLAB ® have been carried out to analyze the both parameters PAPR and Symbol Error Rate (SER). Computer simulation results show that the proposed SLM based GCL precoded UFMC (SLM-GCL-UFMC) scheme outperform the GCL precoded UFMC scheme, conventional UFMC scheme and conventional OFDM scheme, respectively available in the literature. © 2020 IEEE.