Results 41 to 50 of about 153 (124)

Analysing the cost impact of failure rates for the next generation of offshore wind turbines

Wind Energy, Volume 27, Issue 7, Page 695-710, July 2024.
Abstract Offshore wind turbines have rapidly scaled up in recent years, with plans to construct turbines up to 22 MW in the next decade. However, the operations and maintenance (O&M) requirements for these ‘next‐generation turbines’ remain largely unknown.
Orla Donnelly, James Carroll, Michael Howland   +2 more
wiley   +1 more source

Parameters Estimation of a Proposed Non-Homogeneous Poisson Process and Estimation of the Reliability Function Using the Gompertz Process: A Comparative Analysis of Artificially Intelligent and Traditional Methods

Iraqi Journal for Computer Science and Mathematics
 This work presents a novel approach to enhancing the rate of occurrence of non-homogeneous Poisson processes (NHPP) by utilizing the Gompertz distribution as the rate of occurrence.
Adel Sufyan Hussain, Yaseen Adel Oraibi, Muthanna Subhi Sulaiman, Ahmed Sami Abdulghafour   +3 more
doaj   +1 more source

Aftershock probabilistic seismic hazard analysis based on enhanced Bayesian network considering frequency information

Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 13, Page 1963-1987, 1 July 2024.
Abstract Bayesian network (BN) is an important tool in probabilistic seismic risk analysis (PSRA) due to its holistic nature and powerful probabilistic inference capabilities. However, while the information that can be stored by BN includes variable values, probability distributions, and relationships between variables, it does not involve event ...
Chang Liu, Dagang Lu
wiley   +1 more source

Data‐driven framework for warranty claims forecasting with an application for automotive components

Engineering Reports, Volume 6, Issue 5, May 2024.
Automakers budget for considerable warranty costs, making accurate forecasting vital for financial planning and prioritizing product improvements that lead to reduced costs in future production. This paper presents a data‐driven framework for robust warranty forecasting. The framework compensates for reporting delays, heterogeneous build quality, sales
Mohammad Babakmehr, Sascha Baumanns, Abdallah Chehade, Thomas Hochkirchen, Mahdokht Kalantari, Vasiliy Krivtsov, David Schindler   +6 more
wiley   +1 more source

Inventory Probabilistic Forecasting Model for Demand Uncertainty: A Variational Poisson Inference Approach Based on Clustering and Deep Learning

IEEE Access
Due to the significant uncertainty in consumer demand for goods, inventory demand exhibits randomness and temporal heterogeneity, making it extremely difficult to summarize demand patterns over different time periods.
Ran Tian, Bo Wang, Meng Lu
doaj   +1 more source

Hybrid Firefly–Bayesian Neural Network Estimation for Reliable Modeling of the Inverse Gompertz–Gumbel Family and NHPP Systems: Properties and Comparative Evaluation

Journal of Statistical Theory and Applications (JSTA)
The idea commonly accepted is that probability distributions play a major role in reliability modeling, whereas classical models are often not flexible enough to accommodate the complex behavior of life data.
Saad Abbas Abed, Ali Akgül, Murad Khan Hassani, Zaid Amer Mohammed, Adel S. Hussain, Mohammad A. Tashtoush   +5 more
doaj   +1 more source

Rejoinder to “Specifying Prior Distribution in Reliability Applications”

Applied Stochastic Models in Business and Industry, Volume 40, Issue 1, Page 130-143, January/February 2024.
Abstract We response to comments on our paper “Specifying Prior Distributions in Reliability Applications” in this rejoinder.
Qinglong Tian, Colin Lewis‐Beck, Jarad B. Niemi, William Q. Meeker   +3 more
wiley   +1 more source

Bayesian Estimation of the Inverse Rayleigh Process under a Non-Homogeneous Poisson Process Framework

المجلة العراقية للعلوم الاحصائية
The rationale on which this study is based is that accurate and dependable means to obtain time-dependent failure rates in repairable systems, especially in cases that are not homogeneous, are required, and the conventional models are not always in a ...
Kawar Badie Mahmood
doaj   +1 more source

Integrated Quality Inspection and Production Run Optimization for Imperfect Production Systems with Zero-Inflated Non-Homogeneous Poisson Deterioration

Mathematics
This study develops an integrated quality inspection and production optimization framework for an imperfect production system, where system deterioration follows a zero-inflated non-homogeneous Poisson process (ZI-NHPP) characterized by a power-law ...
Chih-Chiang Fang, Ming-Nan Chen
doaj   +1 more source

A hybrid firefly-Bayesian Neural Network approach for survival and reliability estimation in non-homogeneous Poisson processes

Scientific African
We develop a new parametric inference scheme, which will combine Bayesian Neural Networks (BNNs) and Firefly Algorithm (FFA) in order to estimate the parameters of the Gull-Alpha Power Gompertz-Makeham (GAPL-GM) distribution fitted in a Non-Homogeneous ...
Omer M. Mushref, Sefer Kurnaz, Adel S. Hussain, Lakhlifa Sadek, Abdulghafor M. Hashim, Mohammad A. Tashtoush   +5 more
doaj   +1 more source