scholarly journals A Digital Twin-Based Approach for the Fault Diagnosis and Health Monitoring of a Complex Satellite System

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1307
Author(s):  
Duansen Shangguan ◽  
Liping Chen ◽  
Jianwan Ding
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Health Monitoring ◽  
Satellite System ◽  
Time Data ◽  
Reliable Operation ◽  
Satellite Systems ◽  
Digital Twin ◽  
Implicit Information ◽  
The Cost

The ever-increasing functional density and complexity of the satellite systems, the harsh space flight environment, as well as the cost reduction measures that require less operator involvement are increasingly driving the need to develop new approaches for fault diagnosis and health monitoring (FD-HM). The data-driven FD-HM approaches use signal processing or data mining to obtain implicit information for the operating state of the system, which is good at monitoring systems extensively and shallowly and is expected to reduce the workload of the operators. However, these approaches for the FD-HM of the satellite system are driven primarily by the historical data and some static physical data, with little consideration for the simulation data, real-time data, and data fusion between the two, so it is not fully competent for the real-time monitoring and maintenance of the satellite in orbit. To ensure the reliable operation of the complex satellite systems, this paper presents a new physical–virtual convergence approach, digital twin, for FD-HM. Moreover, we present an FD-HM application of the satellite power system to demonstrate the effectiveness of the proposed approach.

Effect of Ionosphere on Global Navigation Satellite System and Analysis of the Effects with Real Time Indian Regional Navigation Satellite System Data Positioned at Jain University

2020 ◽  
Vol 17 (9) ◽  
pp. 4061-4069
Author(s):  
R. Manaswini ◽  
G. Raju
Keyword(s):  
Real Time ◽  
Space Weather ◽  
Satellite System ◽  
Navigation Satellite ◽  
Time Data ◽  
Ionospheric Layer ◽  
Satellite Systems ◽  
System Data ◽  
Global Navigation ◽  
Global Navigation Satellite

Global navigation satellites systems provide real time positioning and timing services more efficiently and effectively. The ionosphere is one dynamic layer that affects the communication and remote sensing to maximum extent under different conditions. The ionospheric errors affects the integrity, continuity, accuracy and availability of satellites of GNSS systems. These effects are basically because of variation in space weather effects. The environmental conditions of the Earth’s ionosphere, magnetosphere, thermosphere which dynamically varies because of sun activities and consecutively affects activities in space and on the Earth is defined as space weather. In the present paper different reasons for ionospheric layer various are discussed in detail and errors that occur in the GNSS errors are discussed. The real time data of Indian regional navigation satellite systems are also considered for some prominent duration and how various parameters of the IRNSS data have changed are explored.

scholarly journals Development of a New KPI for the Economic Quantification of Six Big Losses and Its Implementation in a Cyber Physical System

2020 ◽  
Vol 10 (24) ◽  
pp. 9154
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Jaime Latapia
Keyword(s):  
Real Time ◽  
Physical System ◽  
Performance Indicator ◽  
Cost Model ◽  
Relevant Information ◽  
Cyber Physical System ◽  
Time Data ◽  
Real Time Data ◽  
Different Dimensions ◽  
The Cost

The purpose of this work is to develop a new Key Performance Indicator (KPI) that can quantify the cost of Six Big Losses developed by Nakajima and implements it in a Cyber Physical System (CPS), achieving a real-time monitorization of the KPI. This paper follows the methodology explained below. A cost model has been used to accurately develop this indicator together with the Six Big Losses description. At the same time, the machine tool has been integrated into a CPS, enhancing the real-time data acquisition, using the Industry 4.0 technologies. Once the KPI has been defined, we have developed the software that can turn these real-time data into relevant information (using Python) through the calculation of our indicator. Finally, we have carried out a case of study showing our new KPI results and comparing them to other indicators related with the Six Big Losses but in different dimensions. As a result, our research quantifies economically the Six Big Losses, enhances the detection of the bigger ones to improve them, and enlightens the importance of paying attention to different dimensions, mainly, the productive, sustainable, and economic at the same time.

PROCEDURE OF CALCULATING THE REDUCED COSTS FOR DESIGNING A COMBINED LOW-ORBIT SATELLITE SYSTEM

2017 ◽  
Author(s):  
Vitaly Pochernyaev ◽  
◽  
Tetiana Kadatska ◽  
Keyword(s):  
Satellite System ◽  
Observation Data ◽  
Satellite Systems ◽  
Capital Costs ◽  
Ground Segment ◽  
Rocket Carrier ◽  
Approximate Cost ◽  
Main Component ◽  
The Cost ◽  
Space Segment

The article provides a method for calculating the costs when designing a promising embodiment of a low-bit satellite system. For Ukraine, the prospects for this option lies in the fact that their own means of achieving a large number of satellites in orbit are applied. At the same time, satellites are multifunctional and used to organize communication and broadcasting, the sounding of the atmosphere and the surface of the Earth, subsurface locations, cosmic observation, data collection from the Internet sensors. The space group consists of mini, macro-, nanosterans, which are delivered to the orbit of a domestic rocket carrier into orbit. The technical and economic efficiency of the satellite system lies not only in the above advantages, but also in its hierarchical construction - combination of the root satellite, ministerial repeater, macrovers. The article provides an analysis of other low-bit satellite systems. A feature of the study of the combined LEO is the fact that the proposed construction of the satellite system allows the use of technological distributed registries as one of the through digital technologies. In digital transformation of the economy, the technology of distributed registers plays the same role as Internet things, cloud computing, 5G and Big Data technologies. The method of calculating the presented costs is to calculate the cost of the development, production and operation of the system at the stage of its design. The costs of developing space and ground segments are included in the total capital costs. The costs of developing a space segment are highlighted on the cost of developing a root satellite, a minivan-repeater, microscope. The same approach is also laid for the cost of exploitation of the space segment. When calculating the costs of the ground segment as the main component of earth stations, antenna systems, radio transmission microwaves and radio receiving microwaves, information processing devices, terminal equipment are taken as the main components of earth stations. The approximate cost of serial production of root sieuine, mini satellite, retrograder, microsatellite is indicated. The estimated cost of one minute of access in the studied combined LEO and in the existing "close" to the appointment of a low-bit satellite system is given.

scholarly journals Using Digital Twining in Fast-food Production Chain Simulation

2021 ◽  
Vol 343 ◽  
pp. 03005
Author(s):  
Florina Chiscop ◽  
Bogdan Necula ◽  
Carmen Cristiana Cazacu ◽  
Cristian Eugen Stoica
Keyword(s):  
Real Time ◽  
Fast Food ◽  
Virtual Model ◽  
Time Data ◽  
Production Chain ◽  
The Real ◽  
Time Dynamic ◽  
Digital Twin ◽  
Food Company ◽  
The Moment

The topic of this paper represents our research in the process of creating a virtual model (digital twin) for a fast-food company production chain starting with the moment when a customer launches an order, following with the processing of that order, until the customer receives it. The model will describe elements that are included in this process such as equipment, human resources and the necessary space that is needed to host this layout. The virtual model created in a simulation platform will be a replicate of a real fast-food company, thus helping us observe the real time dynamic of this production system. Using WITNESS HORIZON 23 we will construct the model of the layout based on real time data received from the fast-food company. This digital twin will be used to manage the production chain material flow, evaluating the performance of the system architecture in various scenarios. In order to obtain a diagnosis of the system’s performance we will simulate the workflow running through preliminary architecture in compliance with the real time behaviour to identify the bottlenecks and blockages in the flow trajectory. In the end we will propose two different optimised architectures for the fast-food company production chain.

Status Monitoring and Fault Diagnosis Network System Based on UPnP

2007 ◽  
Vol 353-358 ◽  
pp. 2632-2635
Author(s):  
Pei Yu Li ◽  
Da Peng Tan ◽  
Tao Qing Zhou ◽  
Bo Yu Lin
Keyword(s):  
Fault Diagnosis ◽  
Embedded System ◽  
Real Time ◽  
Data Storage ◽  
Network Architecture ◽  
Network System ◽  
Time Data ◽  
Status Monitoring ◽  
Self Recognition ◽  
Real Time Data

Aiming at some problems in the fields of industry monitoring technology (IMT) such as bad dynamic ability and poor versatility, this paper brought forward a kind of intelligent Status monitoring and Fault diagnosis Network System (SFNS) based on UPnP-Universal Plug and Play. The model for fault diagnosis network system was established according to characteristics and requirements of IMT network, and system network architecture was designed and realized by UPnP. Using embedded system technology, real-time data collection node, monitoring center node and data storage server were designed, and that supplies powerful real-time data support for SFNS. Industry fields experiments proved that this system can realize self recognition, seamless linkage and other self adapting ability, and can break through the limitation of real IP address to achieve real-time remote monitoring on line.

Research of Real-Time Fault Diagnosis Platform of Aero-Engine’s Fuel Flow Sensors

2014 ◽  
Vol 538 ◽  
pp. 206-209
Author(s):  
Zhao Rong Sun ◽  
Yi Gang Sun
Keyword(s):  
Fault Diagnosis ◽  
Real Time ◽  
Time Data ◽  
Flow Sensors ◽  
Bp Network ◽  
Fuel Flow ◽  
Region Partition ◽  
Training Samples ◽  
Partition Method ◽  
Bp Model

The purpose of the research is to put up a fault diagnosis algorithm of the aero-engine’s fuel flow sensors and verify the platform through simulation based on the QAR (Quick Access Recorder) data. By analyzing the correlations of the parameters that affect the conditions of the engine, a three-layer BP network model is established. Then, in order to solve the influences to the BP model in the full envelope due to the fluctuations of transition between different flight phases, a region partition method is used to divide the whole flight envelop into several regions and corresponding BP model is established. Finally, the QAR data are used as the training samples to build the BP network for different regions, then, the real-time data are used as the inputs to verify the platform. The simulation results show that the region partition method can effectively detect the fault of the fuel flow sensors.

scholarly journals Digital Twin for Operation of Microgrid: Optimal Scheduling in Virtual Space of Digital Twin

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5504
Author(s):  
Hyang-A Park ◽  
Gilsung Byeon ◽  
Wanbin Son ◽  
Hyung-Chul Jo ◽  
Jongyul Kim ◽  
...  
Keyword(s):  
Real Time ◽  
Industrial Revolution ◽  
Storage System ◽  
Research Field ◽  
Optimization Techniques ◽  
Virtual Space ◽  
Machine Learning Techniques ◽  
Time Data ◽  
Digital Twin ◽  
Learning Techniques

Due to the recent development of information and communication technology (ICT), various studies using real-time data are now being conducted. The microgrid research field is also evolving to enable intelligent operation of energy management through digitalization. Problems occur when operating the actual microgrid, causing issues such as difficulty in decision making and system abnormalities. Using digital twin technology, which is one of the technologies representing the fourth industrial revolution, it is possible to overcome these problems by changing the microgrid configuration and operating algorithms of virtual space in various ways and testing them in real time. In this study, we proposed an energy storage system (ESS) operation scheduling model to be applied to virtual space when constructing a microgrid using digital twin technology. An ESS optimal charging/discharging scheduling was established to minimize electricity bills and was implemented using supervised learning techniques such as the decision tree, NARX, and MARS models instead of existing optimization techniques. NARX and decision trees are machine learning techniques. MARS is a nonparametric regression model, and its application has been increasing. Its performance was analyzed by deriving performance evaluation indicators for each model. Using the proposed model, it was found in a case study that the amount of electricity bill savings when operating the ESS is greater than that incurred in the actual ESS operation. The suitability of the model was evaluated by a comparative analysis with the optimization-based ESS charging/discharging scheduling pattern.

scholarly journals The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition in Production Systems

2017 ◽  
Vol 9 ◽  
pp. 113-120 ◽  
Author(s):  
Thomas H.-J. Uhlemann ◽  
Christoph Schock ◽  
Christian Lehmann ◽  
Stefan Freiberger ◽  
Rolf Steinhilper
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Production Systems ◽  
Time Data ◽  
Digital Twin ◽  
Real Time Data

scholarly journals A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Priyanka Kakria ◽  
N. K. Tripathi ◽  
Peerapong Kitipawang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Data Security ◽  
High Speed ◽  
Low Cost ◽  
Wearable Sensors ◽  
Healthcare Services ◽  
Cardiac Patients ◽  
The Cost

Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this paper, a real-time heart monitoring system is developed considering the cost, ease of application, accuracy, and data security. The system is conceptualized to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services which might not be possible otherwise due to low doctor-to-patient ratio. The developed monitoring system is then evaluated for 40 individuals (aged between 18 and 66 years) using wearable sensors while holding an Android device (i.e., smartphone under supervision of the experts). The performance analysis shows that the proposed system is reliable and helpful due to high speed. The analyses showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.

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