Results 31 to 40 of about 153 (124)
ABSTRACT The analysis of a system that deteriorates under imperfect maintenance is essential in reliability engineering. Imperfect maintenance does not fully restore a system to its original condition, leading to complex degradation patterns. Statistical inference techniques allow for precise estimation of degradation parameters, maintenance effects ...
Reza Ahmadi, Mitra Fouladirad
wiley +1 more source
Statistical Analysis of Time-Varying Characteristics of Testability Index Based on NHPP
The failure detection rate (FDR) is the most common testability index used to evaluate the equipment testability level. According to the testability test theory of FDR, a widespread supposition is that the FDR value of a system is an unknown constant ...
Zhiao Zhao +3 more
doaj +1 more source
And then there were none: decrease of origination and the decline of Conulariida
Abstract Although the evolutionary history of conulariids has been widely studied, previous works have focused mostly on limited time intervals. In this paper, we examine the diversity dynamics of the group throughout its entire history, using various mathematical approaches.
Julio Bernad +2 more
wiley +1 more source
Analysis of Failures, Downtimes and Reliability of Wind Turbines From SCADA Data
ABSTRACT With the growing demand for safe, efficient and reliable sustainable energy sources, wind energy has witnessed rapid growth worldwide in recent years. Reliability is critical to the operational performance of the wind turbines. Reliability analysis allows for the critical subassemblies to be identified and better maintenance strategies to ...
Cuong D. Dao +2 more
wiley +1 more source
Flexible movement kernel estimation in habitat selection analyses with generalized additive models
Abstract Habitat selection analysis includes resource selection analysis (RSA) and step selection analysis (SSA). These frameworks are used in order to understand space use of animals. Particularly, the SSA approach specifies the area available to the animal through a movement kernel.
Rafael Arce Guillen +6 more
wiley +1 more source
Next Generation Models for Subsequent Sports Injuries
ABSTRACT This paper contributes a modelling approach for prediction of subsequent injury risk using longitudinal wearable data in the sports industry. Understanding subsequent injury events in sport, namely injuries that follow an initial injury, will assist athletes, support staff, and coaches to quantify the risk of future injury and better inform ...
Paul Pao‐Yen Wu +6 more
wiley +1 more source
The reliability analysis of complex repairable systems is an important but computationally intensive task that requires fitting the failure data of whole life cycles well.
Xuejiao Du +4 more
doaj +1 more source
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri +18 more
wiley +1 more source
In this paper, we reformulate the classical risk model to consider economic factors such as taxation and real force of interest. In the model, the premiums are assumed to be compounded by increasing annuities over some time. The loss process is also presumed to be two mixed stochastic processes with weights that sum to 1.
Calvine Odiwuor +4 more
wiley +1 more source
Abstract We performed a series of hydraulic stimulations at 1.1 km depth in the Bedretto underground laboratory, Switzerland, as part of an overall research strategy attempting to understand induced seismicity on different scales. Using an ultra‐high frequency seismic network we detect seismic events as small as Mw < −4, revealing intricate details of ...
Anne Obermann +23 more
wiley +1 more source

