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Failure detection analysis of grid-connected photovoltaic systems in tropical climate region / Nurmalessa Muhammad @ Atan by Muhammad @ Atan, Nurmalessa

“…Finally, the verification on the two additional sites of FD algorithm has detected the 'No Fault' and 'Fault' as suggested by the type of failure occurrence and failure identification technique.…”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

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Vibration analysis for early detection of bearing failures by Gam, Kheng Shiang

“…Early detection of bearing failures using Predictive Maintenance (PdM) is critical for minimizing downtime and optimizing maintenance strategies. …”
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Intelligent DNA signature detection for internet worms by Ghazali, Osman

“…Active worms spread in an automated fashion flooding the Internet in a very short time.Slammer worm infected more than 90% of vulnerable machines within 10 minutes on January 25th, 2003.Hence it is necessary to monitor and detect the worms as soon as they are introduced to minimize the damage caused by them.This project concentrates on developing an anti-scanning worm detection system that can automatically detect and control the spread of internet scanning worms without any manual intervention.The Intelligent Failure Connection Algorithm (IFCA) developed in this project can detect both stealth and normal worms within a short time.Experiments conducted as part of the evaluation shows that IFCA detects a worm within two scanning cycles of the worm.This is faster than any of the currently available algorithms or mechanisms reported in the literature.The IFCA uses Artificial Immune System (AIS) for the purpose of monitoring and detecting the worms.The Traffic Signature Algorithm (TSA) developed in the project captures the traffic signature of the worm from the infector when it sends the traffic to the victim.The Intelligent DNA Signature Detection Algorithm (IDNASDA) algorithm works by breaking an infection session into different infection phases, each phase containing a number of different traffic such as Internet Control Message Protocol (ICMP), Transmission Control Protocol (TCP), or User Datagram Protocol (UDP).Finally it converts the traffic signature to DNA signature.The tests carried out show that the IDNASD could detect DNA signature for MSBlaster worm.…”
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Radiometric partial discharge location detection in medium voltage switchgears by Kannappan M., Chakrabarty C.K., Hock G.C.

“…This paper focuses on the development of methods/algorithm to accurately locate and detect these PD signals within the 3D space of a medium voltage (MV) switch gear. …”

Epileptic Seizure Detection Using Singular Values And Classical Features Of EEG Signals by Ahmed, Ahmed Elsayed Elmahdy

“…This project aims at developing an automated epileptic seizure event detection algorithm. …”
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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

“…This creates the jamming detection and classification parameters. The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
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Secured Autonomous Agent-Based Intrusion Detection System (SAAIDS) by Luqmanulhakim Mohd Nasir

Process fault detection and diagnosis using Boolean representation on fatty acid fractionation column by Othman, M. R., Ali, Mohamad Wijayanuddin, Kamsah, Mohd. Zaki

“…This advantage is useful in systematically detect failures in process plant. Therefore, an algorithm for the development of process fault detection system in dynamic processes using artificial neural network (ANN) is presented. …”
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Development of a detection and classification method for induction motor faults using Motor Current Signature Analysis and Feedforward Neural Network / Felicity Bulan Leo Uchat by Leo Uchat, Felicity Bulan

“…In this thesis, the detection and classification of induction motor faults due to electrical related failures using Motor Current Signature Analysis (MCSA) and Feedforward Neural Network (FNN) neural network is proposed. …”
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Pairwise Test Suite Generation Based on Hybrid Artificial Bee Colony Algorithm by Alazzawi, A.K., Rais, H.M., Basri, S., Alsariera, Y.A.

“…Pairwise testing is one of the efficient CTT that used widely for fault detection based on the caused failures by two interactions parameters. …”
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Prediction of progressive failure in woven glass/epoxy composite laminated panels. by Zahari, Rizal, Azmee, Abdul Hannan, Mustapha, Faizal, Salit, Mohd Sapuan, Varatharajoo, Renuganth, Shakrine, Azmine

“…Tsai-Hill failure theory has been employed in the progressive failure methodology to detect failure of the woven composite laminates. …”
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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems by Shengwen, Geng, Osman, Mohd Hafeez

“…This project develops an AI-based anomaly detection system. In the field of autonomous driving, abnormal data will directly affect the safety of autonomous driving systems, especially in terms of abnormal camera sensor data. …”
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Survey on Clustered Routing Protocols Adaptivity for Fire Incidents: Architecture Challenges, Data Losing, and Recommended Solutions by Abbas O.K., Abdullah F., Radzi N.A.M., Salman A.D., Abdulkadir S.J.

“…Many clustered routing algorithms have been developed to address various issues like energy efficiency, network lifetime, and hotspot problems. …”

Car plate detection system by Gunasegaran, Krishnan

“…This system was developed as a prototype to fulfill the requirement and prove the correctness of the algorithms used. …”
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Detection And Classification Of Impact-Induced Delamination In Fiberglass Pre-Impregnated Laminated Composites From Ultrasonic A-Scan Signal Using Artificial Intelligence by Mahmod, Muhammad Faisal

“…This technique is not suitable as the damage caused by the impact normally occurred by accident at random location. Thus, detection and classification of IID using artificial neural network from ultrasonic signal has great potential to be applied, but no attempt has been made to detect and classify this failure mode in FGLC material. …”
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Development of acoustic emission diagnostic system for condition monitoring of rotating machines by N., Saad, M.A.A., Elmaleeh

“…Numerous condition monitoring (CM) techniques and identification algorithms for detection and diagnosis of rotating machinery faults have been proposed for the past few years. …”
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A fault syndromes simulator for random access memories by Wan Hasan, Wan Zuha, Abdul Halim, Izhal, Mohd Sidek, Roslina, Othman, Masuri

“…Due to this, a systematic approach for developing and evaluating memory test algorithm is required. …”
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Preliminary study on fault detection using artificial neural network for water-cooled reactors by Abdul Karim, Julia, Lanyau, Tony, Maskin, Masleha, Anuar, M. A. S., Che Soh, Azura, Abdul Rahman, Ribhan Zafira

“…This work was carried out to discover the use of an artificial neural network (ANN) to model and develop a fault detection programme in the RTP cooling system. …”
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