An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning

Detection and sizing of metal-loss defects in oil and gas pipelines using pattern-adapted wavelets and machine learning

Signals collected from the magnetic scans of metal-loss defects have distinct patterns. Experienced pipeline engineers are able to recognize those patterns in Magnetic Flux Leakage (MFL) scans of pipelines, and use them to characterize defect types (e.g., corrosion, cracks, dents, etc.) and estimate their lengths and depths. This task, however, can be highly cumbersome to a human operator, beca...

an application of equilibrium model for crude oil tanker ships insurance futures in iran

با توجه به تحریم های بین المملی علیه صنعت بیمه ایران امکان استفاده از بازارهای بین المملی بیمه ای برای نفتکش های ایرانی وجود ندارد. از طرفی از آنجایی که یکی از نوآوری های اخیر استفاده از بازارهای مالی به منظور ریسک های فاجعه آمیز می باشد. از اینرو در این پایان نامه سعی شده است با استفاده از این نوآوری ها با طراحی اوراق اختیارات راهی نو جهت بیمه گردن نفت کش های ایرانی ارائه نمود. از آنجایی که بر...

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

Anomaly detection with Machine learning

Behaviour Based Anomaly Detection for Smartphones Using Machine Learning Algorithm

Since the first handheld cellular phone was introduced in 1973, the mobile phones have evolved into immensely popular smartphones. These devices provide all-in-one expediency by integrating traditional mobile phones with handheld computing devices making them more open and general purpose. Smartphones have become hosts for sensitive or personal data and applications. However many smartphones ar...