Sequential methods and algorithms

Deshko, Igor; Tsvetkov, Victor

doi:10.1088/1742-6596/2388/1/012024

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…Dichotomy 3 uses the division procedure (Deshko, Tsvetkov, 2023) several times. Division is completed when indivisible elements are obtained.…”

Section: Discussion and Resultsmentioning

confidence: 99%

“…Onomasiological division is more detailed than dichotomous division. Dichotomous division (Deshko, Tsvetkov, 2023) occurs to parts or elements according to the task. Onomasiological division is performed up to elements or information units.…”

Section: Introductionmentioning

confidence: 99%

“…Cause-and-effect relationships are logically described through implicative relations. They can be expressed either by logical following (Etchemendy, 1988;Shapiro, 2011) or by a logical chain (Perdicoúlis et al, 2016;Deshko, Tsvetkov, 2022). Cause-effect relationships are used in information and geoinformation technologies for decision-making (Tsvetkov, 2019)…”

Section: Introductionmentioning

confidence: 99%

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Dichotomous Analysis

2024

European Journal of Technology and Design

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The article explores little-studied dichotomous analysis. Dichotomous analysis is used in practice to solve many problems. However, to date there has been little research into the theory of dichotomous analysis as a special type of analysis. Dichotomous analysis includes three stages: decomposition of reality, composition of models and study of the resulting models. Decomposition is implemented using dichotomous division. Three types of dichotomous division are described, which produce three types of division results. Dichotomous analysis has different implementations. Dichotomous analysis is divided into: oppositional, aggregative, elemental. Elemental dichotomous analysis is performed using onomasiological division. Onomasiological division allows us to obtain information units or elements of the system under study. The article explores three types of dichotomous decomposition: decomposition to the selection of only parts or elements; decomposition to the selection of parts and constructive connections between them, decomposition to the selection of parts and causal connections between them. The content of the levels of dichotomous division is revealed. A formalization of the dichotomous composition is given. The relationships between the objects of decomposition in dichotomous analysis are described. A structural diagram of dichotomous decomposition is presented. Dichotomous decomposition does not apply to all objects, but only to those that have the property of separation. The dichotomy can be interpreted as a property and as a method. To describe multi-level decomposition, we use the apparatus of tensor algebra. In dichotomous decomposition and composition, paradigmatic and syntagmatic relations are used. The article describes the mechanism for searching for connections in dichotomous decomposition. The Bradford Hill model was used for this purpose. This model is transferred from the field of medicine to the field of information field.

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“…Dichotomy 3 uses the division procedure (Deshko, Tsvetkov, 2023) several times. Division is completed when indivisible elements are obtained.…”

Section: Discussion and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dichotomous Analysis

2024

European Journal of Technology and Design

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High-speed rotating mechanism based on multi-sensor data fusion end face displacement determination method

Li,

Liang,

Zhang

et al. 2024

AIP Advances

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As a type of transmission actuator commonly used in mechanical structures, high-speed rotary mechanisms are widely used in the machinery, energy, civil engineering, and military industries. The main working part of the mechanism is the end face, and the vibration characteristics of the end face directly affect the accuracy and completeness of the whole mechanism. In terms of performance, the end face vibration characteristics reflect the degree of change in the machine’s end face displacement. The traditional end face displacement test method uses a single contact sensor for measurement, but the degree of error in the system is large. It is also difficult to adapt this method to the current high-precision working conditions under the requirements for accurate vibration prediction and control technology. Therefore, this work proposes a test method based on multi-sensor acquisition and data fusion, using different sensors to form a sensor test network. It seeks to address the limitations of the conventional test method that relies on a single-frequency domain, using high-frequency domain impact signals, medium-frequency domain vibration signals, and low-frequency domain rotational speed signals for multi-sensor data fusion to achieve a complete high-speed rotating mechanism with a particular focus on full-area coverage. In order to better obtain the test data, the sensor layout network is optimized through the optimization design method, and the optimal sensor installation scheme is proposed. Finally, the data fusion algorithm and sensor layout scheme are experimentally verified with a typical high-speed rotating mechanism.

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Sequential methods and algorithms

Cited by 2 publications

References 8 publications

Dichotomous Analysis

Dichotomous Analysis

High-speed rotating mechanism based on multi-sensor data fusion end face displacement determination method

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