ANALYSIS OF SPACECRAFT TELEMETRY INFORMATION USING THE KNOWLEDGE BASE, REPLENISHED DURING THEIR OPERATION

Author(s):  
S. V. Soloviev

The method for intellectualizing the analysis of telemetric information from spacecraft arriving at ground-based flight controls is discusses. The features of state control during the spacecraft operation are formulated. The basic concepts, terms and basic properties of time series are presented, the definition of the physical meaning of the characteristic quantities for the spacecraft flight control process is given. The use of the mathematical apparatus for the analysis of time radars is substantiated in solving problems of telemetry support in the process of controlling the flight of spacecraft. A mathematical apparatus for analyzing time series is proposed to identify the actual trend. An approach to solving the problem of predicting the state of a spacecraft based on a comparative version is presented. Requirements for the intelligent analysis algorithm are presented and an integrated algorithm is proposed, a method based on time series.

2019 ◽  
Vol 304 ◽  
pp. 04018 ◽  
Author(s):  
Andrea De Martin ◽  
Giovanni Jacazio ◽  
Massimo Sorli

Literature on PHM is focused on research dedicated to the definition of new algorithms to achieve better failures prognosis or earlier and more accurate fault diagnosis, but lacks of examples on the design of novel PHM frameworks and the practical issues related with their implementation. This paper describes a roadmap for the design of a novel Prognostics and Health Management system while making reference to a real-case scenario applied to electro-mechanical actuators for flight control systems.


2020 ◽  
Vol 4 (3) ◽  
pp. 151-160
Author(s):  
S. V. Soloviev

The article examines the methods of intelligent analysis of telemetric information of spacecraft. The current state and main shortcomings of the control process during the spacecraft flight control are briefly given. It is proposed to eliminate the shortcomings by introducing intellectualization procedures in terms of telemetric information analysis. Based on the methods of cluster data analysis, a method is proposed for automatically determining the moment of occurrence of anomalies in the state of a spacecraft, which are precursors of off-nominal situations. A schematic diagram of the operation of an intelligent control system based on the use of the method of cluster analysis of the spacecraft telemetric information is presented. The conditions for choosing the method and criterion for clustering are substantiated, taking into account the goals pursued in solving control problems during flight control of the spacecraft. A mathematical description of the clustering methods and criteria selected for further practical testing is given. To test the proposed method of analysis for various methods and criteria of clustering, calculations were performed using archived telemetric information. From the point of view of the time of early detection of the anomaly in the state for a separate component of the spacecraft, the choice of the method and criterion of clustering is made for further research and experimental work.


Author(s):  
O.I. Abanin ◽  
S.V. Soloviev

The paper substantiates the possibility of the automated solution to the problems of detecting anomalies in the operation of onboard systems of a spacecraft, identifying and predicting deviations in the process of spacecraft operation based on changes in the values of telemetric parameters. The study provides insight into the content and structure of the tasks of diagnosing anomalies in the operation of onboard spacecraft systems, and analyzes the current state of the spacecraft flight control process. Within the research, we point out the drawbacks of the existing methods for monitoring telemetric information on the state of a spacecraft, and introduce possible solutions. We describe the principle of solving these problems of analyzing telemetric information using the wavelet transform method, and propose a method for automating the analysis process based on the special mathematical apparatus being developed. The paper gives a brief description of the mathematical transformations on which the proposed method for diagnosing anomalies in the operation of onboard systems is based.


2015 ◽  
Vol 30 (20) ◽  
pp. 1550115 ◽  
Author(s):  
D. Shukla ◽  
T. Bhanja ◽  
R. P. Malik

We consider the toy model of a rigid rotor as an example of the Hodge theory within the framework of Becchi–Rouet–Stora–Tyutin (BRST) formalism and show that the internal symmetries of this theory lead to the derivation of canonical brackets amongst the creation and annihilation operators of the dynamical variables where the definition of the canonical conjugate momenta is not required. We invoke only the spin-statistics theorem, normal ordering and basic concepts of continuous symmetries (and their generators) to derive the canonical brackets for the model of a one [Formula: see text]-dimensional (1D) rigid rotor without using the definition of the canonical conjugate momenta anywhere. Our present method of derivation of the basic brackets is conjectured to be true for a class of theories that provide a set of tractable physical examples for the Hodge theory.


2009 ◽  
Vol 19 (02) ◽  
pp. 453-485 ◽  
Author(s):  
MINGHAO YANG ◽  
ZHIQIANG LIU ◽  
LI LI ◽  
YULIN XU ◽  
HONGJV LIU ◽  
...  

Some chaotic and a series of stochastic neural firings are multimodal. Stochastic multimodal firing patterns are of special importance because they indicate a possible utility of noise. A number of previous studies confused the dynamics of chaotic and stochastic multimodal firing patterns. The confusion resulted partly from inappropriate interpretations of estimations of nonlinear time series measures. With deliberately chosen examples the present paper introduces strategies and methods of identification of stochastic firing patterns from chaotic ones. Aided by theoretical simulation we show that the stochastic multimodal firing patterns result from the effects of noise on neuronal systems near to a bifurcation between two simpler attractors, such as a point attractor and a limit cycle attractor or two limit cycle attractors. In contrast, the multimodal chaotic firing trains are generated by the dynamics of a specific strange attractor. Three systems were carefully chosen to elucidate these two mechanisms. An experimental neural pacemaker model and the Chay mathematical model were used to show the stochastic dynamics, while the deterministic Wang model was used to show the deterministic dynamics. The usage and interpretation of nonlinear time series measures were systematically tested by applying them to firing trains generated by the three systems. We successfully identified the distinct differences between stochastic and chaotic multimodal firing patterns and showed the dynamics underlying two categories of stochastic firing patterns. The first category results from the effects of noise on the neuronal system near a Hopf bifurcation. The second category results from the effects of noise on the period-adding bifurcation between two limit cycles. Although direct application of nonlinear measures to interspike interval series of these firing trains misleadingly implies chaotic properties, definition of eigen events based on more appropriate judgments of the underlying dynamics leads to accurate identifications of the stochastic properties.


2014 ◽  
Vol 23 (2) ◽  
pp. 213-229 ◽  
Author(s):  
Cangqi Zhou ◽  
Qianchuan Zhao

AbstractMining time series data is of great significance in various areas. To efficiently find representative patterns in these data, this article focuses on the definition of a valid dissimilarity measure and the acceleration of partitioning clustering, a common group of techniques used to discover typical shapes of time series. Dissimilarity measure is a crucial component in clustering. It is required, by some particular applications, to be invariant to specific transformations. The rationale for using the angle between two time series to define a dissimilarity is analyzed. Moreover, our proposed measure satisfies the triangle inequality with specific restrictions. This property can be employed to accelerate clustering. An integrated algorithm is proposed. The experiments show that angle-based dissimilarity captures the essence of time series patterns that are invariant to amplitude scaling. In addition, the accelerated algorithm outperforms the standard one as redundancies are pruned. Our approach has been applied to discover typical patterns of information diffusion in an online social network. Analyses revealed the formation mechanisms of different patterns.


2020 ◽  
Vol 72 (2) ◽  
pp. 236-242
Author(s):  
K. Galiyeva ◽  
◽  
S. Isakova ◽  

The article is devoted to the definition of concept in modern linguistics. Various points of view and definitions of the basic concepts are considered: "concept", "conceptual sphere", "content". The aim of the article is to describe and explain such a complex unit as a concept from the point of view of linguistics. The object of research is studied in its various manifestations, the combination of verbal and nonverbal means of information expression in the conceptual sphere is revealed. the relevance of this topic is due to the need for a detailed consideration of the concept of concept based on the works of prominent scientists and linguists. Researchers treat the concept as a cognitive, psycholinguistic, linguocultural, cultural and linguistic phenomenon. The concept is an umbrella term because it "covers" the subject areas of several scientific fields: primarily cognitive psychology and cognitive linguistics.


Author(s):  
Duo Qi ◽  
Hongnan Li ◽  
Xiaoyue Ren ◽  
Pingni Liu ◽  
Cong Wang ◽  
...  

2021 ◽  
Author(s):  
Petro Ivanyshyn ◽  

The purpose of the research is to outline the structure of the main methodological ideas within the frames of interpretive thinking in the essay of the famous Vistnyk’s writer, critic and essayist Yevhen Malaniuk. Considering the purpose and tasks of the studio, an interdisciplinary methodological base, related to the author’s “national approach”, has been worked out. The epistemological potential of national philosophy as a philosophy of national existence, national science as a theory of nation, hermeneutics as a theory and practice of interpretation and post-colonialism as interpretation of cultural phenomena from the standpoint of anti- and post-imperial consciousness are used in the work. The scientific novelty is that on the basis of the previous hermeneutic generalization and definition of national-existential methodology, a propaedeutic outlining of the structure of national-philosophical concepts within the frames of the essayistic interpretation of reality in Ye. Malaniuk is proposed. In the methodological sense, the writer’s essayism is structured by such concepts as nation-centrism, idealism, voluntarism, heroism, and can be considered as one of the variants (close by the experiences of D. Dontsov, Yu. Lypa, M. Mukhyn, etc.) of the Vistnyk’s national-philosophical (national-existential, nationalistic or nation-centric) hermeneutics, that is, the way of understanding, which the author by himself outlined as a “national approach”. The support of Ye. Malaniuk as a culture-philosopher and exegete on the eternal nation-centric values and criteria in his essayistic studies makes his reflections not only historically interesting, but also theoretically productive, classically important for the development of modern Ukrainian hermeneutics and humanities in general.


2019 ◽  
Vol 12 (8) ◽  
pp. 4241-4259 ◽  
Author(s):  
Sylke Boyd ◽  
Stephen Sorenson ◽  
Shelby Richard ◽  
Michelle King ◽  
Morton Greenslit

Abstract. Halo displays, in particular the 22∘ halo, have been captured in long time series of images obtained from total sky imagers (TSIs) at various Atmospheric Radiation Measurement (ARM) sites. Halo displays form if smooth-faced hexagonal ice crystals are present in the optical path. We describe an image analysis algorithm for long time series of TSI images which scores images with respect to the presence of 22∘ halos. Each image is assigned an ice halo score (IHS) for 22∘ halos, as well as a photographic sky type (PST), which differentiates cirrostratus (PST-CS), partially cloudy (PST-PCL), cloudy (PST-CLD), or clear (PST-CLR) within a near-solar image analysis area. The color-resolved radial brightness behavior of the near-solar region is used to define the discriminant properties used to classify photographic sky type and assign an ice halo score. The scoring is based on the tools of multivariate Gaussian analysis applied to a standardized sun-centered image produced from the raw TSI image, following a series of calibrations, rotation, and coordinate transformation. The algorithm is trained based on a training set for each class of images. We present test results on halo observations and photographic sky type for the first 4 months of the year 2018, for TSI images obtained at the Southern Great Plains (SGP) ARM site. A detailed comparison of visual and algorithm scores for the month of March 2018 shows that the algorithm is about 90 % reliable in discriminating the four photographic sky types and identifies 86 % of all visual halos correctly. Numerous instances of halo appearances were identified for the period January through April 2018, with persistence times between 5 and 220 min. Varying by month, we found that between 9 % and 22 % of cirrostratus skies exhibited a full or partial 22∘ halo.


Sign in / Sign up

Export Citation Format

Share Document