An industrial information integration approach to in-orbit spacecraft

Abstract

To operate an in-orbit spacecraft, the spacecraft status has to be monitored autonomously by collecting and analysing real-time data, and then detecting abnormities and malfunctions of system components. To develop an information system for spacecraft state detection, we investigate the feasibility of using ontology-based artificial intelligence in the system development. We propose a new modelling technique based on the semantic web, agent, scenarios and ontologies model. In modelling, the subjects of astronautics fields are classified, corresponding agents and scenarios are defined, and they are connected by the semantic web to analyse data and detect failures. We introduce the modelling methodologies and the resulted framework of the status detection information system in this paper. We discuss system components as well as their interactions in details. The system has been prototyped and tested to illustrate its feasibility and effectiveness. The proposed modelling technique is generic which can be extended and applied to the system development of other large-scale and complex information systems. ARTICLE HISTORY

WGAN-Based Image Denoising Algorithm

“…In the following work, the model will be trained to denoise other different noises. Image denoising can be used in many applications such as 360-degree panoramic image (Lee et al, 2020), Mars camera (Hsu, Shao, Tseng, & Huang, 2021) and moon image segmentation (Du et al, 2017).…”

Spacecraft Informatics

“…Many countries are deploying related technologies such as AI, robotics, machine learning, etc., in the deep-space explorations. Moreover, considering the high-complexity, high cost and high risk involved in spacecraft, advanced technologies in information modelling, simulation, optimisation and decision support methods are required to improve the effectiveness, efficiencies, reliabilities and safety of the space operations (Du et al 2017;Rui et al 2014). The emerging informatics approach offers the benefit to the area of spacecraft regarding in-orbit spacecraft, satellites, space-stations of any types in deep-space exploration missions from ground control, user payload, space weather and conditions, remote sensing and telemetry, and many more spaceflight missions and activities of designing, forecasting, planning and control.…”

Health condition estimation of spacecraft key components using belief rule base

“…The knowledgebased approach estimates the health condition of the system by expert judgement which is based on their experience knowledge. The classical methods which use the experts' judgemental information include Analytic Hierarchy Process (AHP) (Wang, Kai, and Wang (2010); Sasmal and Ramanjaneyulu (2008)), Fuzzy Evaluation (Melhem and Aturaliya (2010)) and ontologies-based knowledge (Du et al (2016); Bao et al (2018)). These methods are simple, intuitive and easy to understand (Li et al (2017)).…”