Health Index for Power Transformer Condition Assessment: A Comparison of Three Different Techniques.

Condition assessment of power transformer using gas detection methods

This article deals with the gases dissolved in oil generated during the power transformer operation. The attention is paid to the production of gases typical for particular failures. The most powerful and widely used diagnostic tool for investigation faults and their root causes is dissolved gas-in-oil analysis DGA. Hydran sensor is one of the most used sensors applied for on-line monitoring of...

assessment of the park- ang damage index for performance levels of rc moment resisting frames

چکیده هدف اصلی از طراحی لرزه ای تامین ایمنی جانی در هنگام وقوع زلزله و تعمیر پذیر بودن سازه خسارت دیده، پس از وقوع زلزله است. تجربه زلزله های اخیر نشان داده است که ساختمان های طراحی شده با آیین نامه های مبتنی بر نیرو از نظر محدود نمودن خسارت وارده بر سازه دقت لازم را ندارند. این امر سبب پیدایش نسل جدید آیین نامه های مبتنی بر عملکرد شده است. در این آیین نامه ها بر اساس تغییرشکل های غیرارتجاعی ...

A Comparison between Different Meta-Heuristic Techniques in Power Allocation for Physical Layer Security

Node cooperation can protect wireless networks from eavesdropping by using the physical characteristics of wireless channels rather than cryptographic methods. Allocating the proper amount of power to cooperative nodes is a challenging task. In this paper, we use three cooperative nodes, one as relay to increase throughput at the destination and two friendly jammers to degrade eavesdropper&rsqu...

Condition Monitoring Techniques of Power Transformers: A Review

Power transformers provide a vital link between the generation and distribution of produced energy. Such static equipment is subjected to abuse during operation in generation and distribution stations and leads to catastrophic failures. This paper reviewed the techniques in the field of condition monitoring of power transformers in recent years. Transformer monitoring and diagnosis are the effe...

Estimating the Transformer Health Index Using Artificial Intelligence Techniques