Search Results - (( developing failure model algorithm ) OR ( java implication based algorithm ))

Search alternatives:

Refine Results
  1. 1
    Development of Finite Element Code for Non-Linear Analysis of Interlocking Mortarless Masonry System

    Development of Finite Element Code for Non-Linear Analysis of Interlocking Mortarless Masonry System by Ahmed Al- Wathaf, Ahmed Hasan

    Published 2006
    “…An incremental-iterative 2-D nonlinear finite element code is developed to implement the proposed algorithm and analyze the masonry system till failure. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft

    Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft by Salvinder Singh, Karam Singh, Shahrum, Abdullah, Nik Abdullah, Nik Mohamed

    Published 2015
    “…In this paper, the TTF was modelled to predict the likelihood of failure for crankshaft during its operational condition over a given time interval through the development of the stochastic algorithm. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Semiparametric inference procedure for the accelarated failure time model with interval-censored data

    Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

    Published 2019
    “…Inference procedures are developed for modelling multiple events intervalcensored data through AFT models. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Monitoring and prediction of bearing failure by acoustic emission and neural network

    Monitoring and prediction of bearing failure by acoustic emission and neural network by Mahamad, Abd Kadir

    Published 2005
    “…The purpose of this research is to develop an appropriate ANN model of bearing failure prediction. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Critical Appraisement of Slope Failure Contributing Parameters for Slope Risk Assessment System of Western Sarawak via Multi Statistical Approaches with Artificial Neural Network

    Critical Appraisement of Slope Failure Contributing Parameters for Slope Risk Assessment System of Western Sarawak via Multi Statistical Approaches with Artificial Neural Networ... by Nur Hisyam, Ramli

    Published 2025
    “…The evaluation metrics for both models have shown that the development process was a success. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Development of reliability-centered maintenance model using linguistic failure mode and effect analysis

    Development of reliability-centered maintenance model using linguistic failure mode and effect analysis by Mohammed Ahmed Qaid, Alrifaey Moath

    Published 2019
    “…Finally, an RCM model was developed to overcome the RCM drawbacks. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture

    Strut-and-tie model for externally bonded CFRP-strengthened reinforced concrete deep beams based on particle swarm optimization algorithm: CFRP debonding and rupture by Hanoon, Ammar N., Jaafar, M. S., Hejazi, Farzad, Aziz, Farah N .A. Abdul

    Published 2017
    “…This model considered the effects of two CFRP failure modes, namely the CFRP debonding and CFRP tensile rupture failure modes. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review

    Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review by Al-Sabaeei, A.M., Alhussian, H., Abdulkadir, S.J., Jagadeesh, A.

    Published 2023
    “…The rapid progress of machine learning (ML) technologies provides an advantageous opportunity to develop predictive models that can effectively tackle these challenges. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Prediction of progressive failure in woven glass/epoxy composite laminated panels.

    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

    Published 2008
    “…A progressive failure analysis algorithm has been developed and implemented as a user subroutine in a finite element code (ABAQUS) in order to model the non-linear material behavior and to capture the complete compressive response of woven composite plates made of glass-epoxy material. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis

    Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis by Mohamed Elfaki, Faiz Ahmed

    Published 2004
    “…The Expectation Maximization (EM) algorithm is utilized to obtain the estimate of the parameters in the models. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    Rank-based inference for the accelerated failure time model in the presence of interval censored data

    Rank-based inference for the accelerated failure time model in the presence of interval censored data by Karimi, Mostafa, Ibrahim, Noor Akma, Abu Bakar, Mohd Rizam, Arasan, Jayanthi

    Published 2016
    “…In this paper a class of asymptotically normal rank estimators is developed which can be aquired via linear programming for estimating the parameters of the model, and a two-step iterative algorithm is introduce for solving the estimating equations. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  12. 12
    Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam

    Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam by Aizat Hilmi, Zamzam

    Published 2022
    “…The achievement of objective 1 demonstrates that the SVM, DT, and NN classifiers have developed optimised predictive models for first failure, failure to year ratio, and failure rectification action, respectively. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    The implications for ahybrid detection technique against malicious sqlattacks on web applications

    The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

    Published 2025
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai

    A centralised multi-objective model predictive control for biventricular assist devices / Vivian Koh Ci Ai by Vivian Koh , Ci Ai

    Published 2020
    “…Firstly, a simple state-space model of the CVS-BiVAD system was required prior to the development of an MPC algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  15. 15
    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis by Tay, Kai Meng, Jee, T.L, Lim, C.P

    Published 2015
    “…This paper presents a new Fuzzy Inference System (FIS)-based Risk Priority Number (RPN) model for the prioritization of failures in Failure Mode and Effect Analysis (FMEA). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems

    Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems by Shengwen, Geng, Osman, Mohd Hafeez

    Published 2025
    “…Compared with traditional methods, the CAE-RF model achieves higher accuracy and reliability. The implementation of this model can timely identify and process abnormal data, reduce the risks brought by sensor failure or external environment changes, prevent potential accidents, and improve the safety and reliability of the autonomous driving system.…”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Enhancement of Ant System Algorithm for Course Timetabling Problem

    Enhancement of Ant System Algorithm for Course Timetabling Problem by Djamarus, Djasli

    Published 2009
    “…This research starts with developing an algorithm based on original concept of Ant System Algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis

    A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis by Tze, Ling Jee, Kai, Meng Tay, Chee, Peng Lim

    Published 2015
    “…This paper presents a new Fuzzy Inference System (FIS)-based Risk Priority Number (RPN) model for the prioritization of failures in Failure Mode and Effect Analysis (FMEA). …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Reproducing kernel Hilbert space method for cox proportional hazard model

    Reproducing kernel Hilbert space method for cox proportional hazard model by Abdul Manaf, Nur'azah

    Published 2016
    “…Apart from developing the survival data models, estimations on the hazard functions are being done to estimate the chance of survival or the time from diagnosis to failure or death of the patients. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  20. 20
    Statistical modeling of the electromechanical behaviour of BI-2223 composite wires

    Statistical modeling of the electromechanical behaviour of BI-2223 composite wires by Muhammad Faris Fuaad

    Published 2024
    text::Final Year Project
    Save to List
    Saved in:

Search Tools: