Identification of the state of technical objects based on analyzing a limited set of parameters

Abstract

The approaches developed and generalized scheme of identification of the technical state of the object based on the analysis of several parameters. Identification is based on the introduction of the median line of the system, forming a local zone states. The scheme forms a platform for the development of specific models and algorithms focused on the identification of technical objects based on data from sensors of physical quantities. To identify the possible states of a model prediction of a physical quantity changes in real time, based on the use of the linear adaptive filter. The filter is based on the model of autoregression. A scheme of performance prediction, which is to implement the procedure, consisting of three stages. Investigations using an adaptive time series to predict the rapidly changing physical quantity based on the sensor data. It is shown that for the identification of the state is necessary to develop models and algorithms that determine the proximity of the integrated current values of the parameters to their median values. It is necessary to take into account the different states of configuration and rank configuration of the integrated degree of intimacy.

Application of the Hurst index to evaluate the testing of information gathering system components

“…The performance assessment of a technical object is based on an analysis of a change in a parameter or a combination of its parameters [1,2]. The object is affected by climatic factors such as temperature, humidity, pressure and others, which lead to the degradation of the parameters of the object.…”

Influence of characteristics of time series on short-term forecasting error parameter changes in real time

“…The need for the advanced condition monitoring of a technical object to prevent and control the occurrence of emergency situations in order to eliminate them with minimal impact makes the formulation and implementation of the problem of determining the predicted values of the parameters, as well as the projected assessment of the status of the individual parameters of a technical object or a set of real-time, relevant and timely [1][2][3]. Modern development of microprocessor technology allows one to realize this task using microprocessor modules in information systems engineering of complex objects such as active safety systems and vehicle inertial navigation [4].…”