The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In practice, images are distorted by more than one distortion. For image quality assessment (IQA), existing machine learning (ML)-based methods generally establish a unified model for all the distortion types, or each model is trained independently for each distortion type, which is therefore distortion aware. In distortion-aware methods, the common features among different distortions are not exploited...
Aircraft operational readiness is one of the important indicators of military aircraft fighting capacity and equipment performance, which is closely associated with the reliability, testability, maintainability and supportability of the aircraft. Based on the analysis and existing research about the model of operational readiness of aircraft, the parameter value of model on evaluating operational...
Equipment operation activities in the phase of in-service will become more complex due to the high complexity of modern equipment, and thus produce the pressure on working of support resources allocation and support system design in the phase of design and development. Base on the uncertainty of equipment operation activities' time Sequence in in-service phase, in order to give a reliable result to...
The ability of bridge deterioration models to predict future condition provides significant advantages in improving the effectiveness of maintenance decisions. This paper proposes a novel model using Dynamic Bayesian Networks (DBNs) for predicting the condition of bridge elements. The proposed model improves prediction results by being able to handle, deterioration dependencies among different bridge...
In order to resolve the problems encountered in the process of forecasting the quantity of the operation and maintenance support resources (including spare parts, manpower personals, support equipments and tools and other support resources) during the product's design and development phase, including the difficulty to collect the input data of the forecast models and their imprecise and unauthentic...
This paper proposes a Gamma-based state space model to predict engineering asset life when multiple degradation indicators are involved and the failure threshold on these indicators are uncertain. Monte Carlo-based parameter estimation and model inference algorithms are developed to deal with the proposed Gamma-based state space model. A case study using real data from industry is conducted to compare...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.