Variable selection in high-dimensional regression: a nonparametric procedure for business failure prediction
Sign Up to like & getrecommendations! Published in 2017 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2240
Abstract: Business failure prediction models are important in providing warning for preventing financial distress and giving stakeholders time to react in a timely manner to a crisis. The empirical approach to corporate distress analysis and forecasting… read more here.
Keywords: business failure; business; variable selection; failure prediction ... See more keywords
Feature-weighted survival learning machine for COPD failure prediction
Sign Up to like & getrecommendations! Published in 2019 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2019.01.003
Abstract: Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society,… read more here.
Keywords: learning machine; failure prediction; failure; copd ... See more keywords
On fatigue failure prediction of prosthetic devices through XFEM analysis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Fatigue"
DOI: 10.1016/j.ijfatigue.2021.106160
Abstract: Abstract While prosthetic devices have been extensively used to treat a wide range of human diseases and injuries, failure of these devices due to fatigue under cyclic loading has been recognized as a primary concern… read more here.
Keywords: failure prediction; failure; approach; fatigue failure ... See more keywords
Adoption of machine learning technology for failure prediction in industrial maintenance: A systematic review
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2021.08.012
Abstract: Abstract Failure prediction is the task of forecasting whether a material system of interest will fail at a specific point of time in the future. This task attains significance for strategies of industrial maintenance, such… read more here.
Keywords: industrial maintenance; maintenance; failure prediction; technology ... See more keywords
Tensile failure prediction of U-notched plates under moderate-scale and large-scale yielding regimes
Sign Up to like & getrecommendations! Published in 2017 at "Theoretical and Applied Fracture Mechanics"
DOI: 10.1016/j.tafmec.2017.07.009
Abstract: Abstract The main goal of the present research is to check if the recently published experimental results on tensile load-carrying capacity (LCC) of ductile U-notched Al 7075-T6 and Al 6061-T6 plates could successfully be predicted… read more here.
Keywords: criterion; tensile failure; failure prediction; prediction notched ... See more keywords
Development of a Contractor Failure Prediction Model Using Analytic Network Process
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Architectural Engineering"
DOI: 10.1061/(asce)ae.1943-5568.0000462
Abstract: Abstract Construction contractor failure is one of the most critical and costly risks for a employer. Despite the ability of the employer to terminate the construction contract due to the contracto... read more here.
Keywords: contractor; prediction model; failure prediction; development contractor ... See more keywords
Stochastic data mining tools for pipe blockage failure prediction
Sign Up to like & getrecommendations! Published in 2017 at "Urban Water Journal"
DOI: 10.1080/1573062x.2016.1148178
Abstract: Abstract Failure prediction plays an important role in the management of urban water systems infrastructures. An accurate description of the deterioration of urban drainage systems is essential for optimal investment and rehabilitation planning. In the… read more here.
Keywords: pipe blockage; process; failure prediction; failure ... See more keywords
Corporate failure prediction models in the twenty-first century: a review
Sign Up to like & getrecommendations! Published in 2020 at "European Business Review"
DOI: 10.1108/ebr-12-2018-0209
Abstract: Purpose Corporate failure remains a critical financial concern, with implications for both firms and financial institutions; this paper aims to review the literature that proposes corporate failure prediction models for the twenty-first century. Design/methodology/approach This… read more here.
Keywords: failure prediction; prediction models; review; failure ... See more keywords
Impact of Failure Prediction on Availability: Modeling and Comparative Analysis of Predictive and Reactive Methods
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2018.2806448
Abstract: Predicting failures and acting proactively have a potential to improve availability as a correct prediction and a successful mitigation may bring a reward resulting in decrease of downtime and availability improvement. But, conversely, each incorrect… read more here.
Keywords: failure prediction; impact failure; availability; prediction availability ... See more keywords
Multi-Instance Adversarial Learning Domain Adaptation Network for Failure Prediction of Unlabeled Solid-State Drives
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3227983
Abstract: Recently, with the large-scale application of solid-state drives (SSDs), the failure of SSDs has become the main reliability issue in data centers. SSD manufacturers developed self-monitoring, analysis, and reporting technology (SMART) to indicate the health… read more here.
Keywords: domain adaptation; failure prediction; multi instance; failure ... See more keywords
A Predictive Maintenance Strategy Using Deep Learning Quantile Regression and Kernel Density Estimation for Failure Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3240208
Abstract: Failure prediction and maintenance decision-making are two core activities in a prognostics and health management (PHM) system. However, they are often studied independently and hierarchically. The main goal of this article is to combine system… read more here.
Keywords: maintenance; failure prediction; maintenance strategy; failure ... See more keywords