scholarly journals Semi-Markov model of a technical system with the component-wise instantly replenished time reserve

2018 ◽  
Vol 224 ◽  
pp. 04008 ◽  
Author(s):  
Yuriy E. Obzherin ◽  
Stanislav M. Sidorov ◽  
Sergey N. Fedorenko
Keyword(s):  
Markov Model ◽  
Approximate Determination ◽  
Two Component System ◽  
Additional Time ◽  
Component System ◽  
Time Redundancy ◽  
Two Component ◽  
Technical Systems ◽  
Time Reserve

Time redundancy is one of the methods to increase the reliability and efficiency of technical systems. When it is used, the system is given additional time (a time reserve) for restoring characteristics. In this paper we construct a semi-Markov model of a two-component system with a component-wise instantly replenished time reserve. In this paper we construct a semi-Markov model of a two-component system with a component-wise instantaneous replenishment of the time reserve. For an approximate determination of the stationary characteristics of the reliability of the system, the phase merging scheme algorithm is used.

scholarly journals Analysis of reliability of systems with component-wise storages

2018 ◽  
Vol 58 ◽  
pp. 02024 ◽  
Author(s):  
Yuriy E. Obzherin ◽  
Stanislav M Sidorov ◽  
Mikhail M Nikitin
Keyword(s):  
Phase Space ◽  
Energy Systems ◽  
Two Component System ◽  
Additional Time ◽  
Component System ◽  
Time Redundancy ◽  
Reliability Characteristics ◽  
Two Component ◽  
Semi Markov Processes ◽  
Time Reserve

Time redundancy is a method of increasing the reliability and efficiency of the operation of systems for various purposes, in particular, energy systems. A system with time redundancy is given additional time (a time reserve) for restoring characteristics. In this paper, based on the theory of semi-Markov processes with a common phase space of states, a semi-Markov model of a two-component system with a component-wise instantly replenished time reserve is constructed. The stationary reliability characteristics of the system under consideration are determined.

Hidden Markov Model of Two-Component System with Group Instantly Replenished Time Reserve

2021 ◽  
Vol 27 (2) ◽  
pp. 64-71
Author(s):  
S. M. Sidorov ◽  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Phase State ◽  
Markov Models ◽  
Hidden Markov ◽  
Operation Time ◽  
Two Component System ◽  
Component System ◽  
Two Component ◽  
Time Reserve

Most systems allow the construction of a semi-Markov model. However, during the operation of the system, full information contained in the state encoding is not always available, but it is possible to obtain some signal (information). Tasks arise to assess the consistency of the model with the received data (signals), to refine the model and its parameters. Such parameters can be characteristics of random values characterizing system operation, time reserve value, etc. The theory of hidden Markov models allows solving these problems. In order to move from a semi-Markov model of the system to its hidden Markov model, it is proposed to first the semi-Markov model merge using a stationary phase merging algorithm. In this paper, on the basis of the semi-Markov model with a common phase state space of a two-component system with a group instantly replenished timereserve, we construct a hidden Markov model of a two-component system with a group instantly replenished time reserve. It is used to evaluate the characteristics and predict the states of the system in question based on the received vector of signals. The influence of the time reserve value on the probability of occurrence of the obtained vector of signals is shown.

scholarly journals Simultaneous Determination of Cobalt(II) and Nickel(II) by Fourth-Order Derivative Spectrophotometric Method Using 2-Hydroxy-3-Methoxy Benzaldehyde Thiosemicarbazone

2007 ◽  
Vol 2007 ◽  
pp. 1-6 ◽  
Author(s):  
A. Praveen Kumar ◽  
P. Raveendra Reddy ◽  
V. Krishna Reddy
Keyword(s):  
Spectrophotometric Method ◽  
Present Method ◽  
Simultaneous Equations ◽  
Two Component System ◽  
Component System ◽  
Two Component ◽  
Alloy Steels ◽  
Fourth Derivative ◽  
Benzaldehyde Thiosemicarbazone

A simple and new simultaneous fourth derivative spectrophotometric method is proposed for the analysis of a two-component system containing cobalt(II) and nickel(II) without separation using 2-hydroxy-3-methoxy benzaldehyde thiosemicarbazone (HMBATSC) as a chromophoric reagent. The reagent reacts with cobalt(II) and nickel(II) at pH 6.0, forming soluble brown and yellow colored species, respectively. Cobalt(II) and nickel(II) present in the mixture are simultaneously determined without solving the simultaneous equations by measuring the fourth derivative amplitudes at 468.5 nm and 474.5 nm, respectively. The derivative amplitudes obey Beer's law at 468.5 nm and 474.5 nm for Co(II) and Ni(II) in the range 0.059–3.299μgmL-1and 0.058–3.285μgmL-1, respectively. A large number of foreign ions do not interfere in the present method. The present simultaneous method is used for the determination of micro amounts of cobalt in biological samples, nickel in plant samples, and in some alloy steels and soil sample.

scholarly journals Semi-Markov model of a multi-component energy system with component-wise storages

2019 ◽  
Vol 139 ◽  
pp. 01065
Author(s):  
Yuriy E. Obzherin ◽  
Stanislav M. Sidorov ◽  
Mikhail M. Nikitin
Keyword(s):  
Markov Model ◽  
Energy Systems ◽  
Energy System ◽  
Component System ◽  
Storage Devices ◽  
Time Redundancy ◽  
Multi Component System ◽  
Time Reserve

To increase the reliability and efficiency of the functioning of various purposes systems (in particular, energy systems), time redundancy is used. In this paper, a semi-Markov model of a multi- component system with component-wise storage devices, which are the sources of the time reserve, is constructed. The stationary characteristics of reliability and efficiency of the system under consideration are found. The analysis of the influence of storage capacities on the reliability and efficiency of the system is been.

Semi-Markov Model and Phase-Merging Scheme of a Multi-Component System with the Group Instantly Replenished Time Reserve

2019 ◽  
Vol 26 (03) ◽  
pp. 1950014
Author(s):  
Yuriy E. Obzherin ◽  
Stanislav M. Sidorov
Keyword(s):  
Markov Model ◽  
High Reliability ◽  
Multicomponent System ◽  
Additional Time ◽  
Time Redundancy ◽  
Reliability Characteristics ◽  
Semi Markov Processes ◽  
Asymptotic Phase ◽  
Multi Component System ◽  
Time Reserve

Time redundancy is a method of increasing the reliability and efficiency of the operation of systems for various purposes. A system with time redundancy provides additional time (a time reserve) for restoring characteristics and synchronizing the work of its individual elements. Time reservation is used in production, energy, gas transportation, information, ergonomic systems and some others. In this paper, based on the theory of semi-Markov processes with a common phase space of states, a semi-Markov model of a multicomponent system with a group instantly replenished time reserve is constructed. The reliability characteristics of the system are determined. To approximate the probability and the average time of failure-free operation of the system in conditions of high reliability, asymptotic phase-merging scheme algorithms are used.

scholarly journals Hidden Markov Model of System Elements Technical Maintenance by Age

2020 ◽  
Vol 216 ◽  
pp. 01030
Author(s):  
Yuriy Obzherin ◽  
Mikhail Nikitin ◽  
Stanislav Sidorov
Keyword(s):  
Power Systems ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Two Component System ◽  
Component System ◽  
Two Component ◽  
Technical Maintenance ◽  
Methods Of Operation

Technical maintenance is between the methods of operation reliability and effectiveness increasing for systems of different purposes including power systems. In the paper the hidden semi-Markov model of technical maintenance is built basing on the semi-Markov model of two-component system elements technical maintenance by age. The hidden Markov model is used to solve the problems of dynamics analyzing, predicting the states of a system modelled based on the vector of signals obtained during its operation.

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