Chemical pump maintenance strategy optimization method based on type-2 fuzzy language terms

A technology of fuzzy language and optimization method, applied in fuzzy logic-based systems, pulse technology, instruments, etc., can solve problems such as difficult to solve uncertainty, limit management, and deal with language uncertainty, so as to reduce computational costs and improve Uncertainty modeling and computing power, the effect of ensuring accuracy

Pending Publication Date: 2022-01-07
INTELLIGENT MFG INST OF HFUT
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AI Technical Summary

Problems solved by technology

The membership degree of traditional fuzzy sets is a deterministic value, which greatly limits its management and processing of language uncertainty, and it is also difficult to solve the uncertainty of subjective decision-making consensus

Method used

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  • Chemical pump maintenance strategy optimization method based on type-2 fuzzy language terms
  • Chemical pump maintenance strategy optimization method based on type-2 fuzzy language terms
  • Chemical pump maintenance strategy optimization method based on type-2 fuzzy language terms

Examples

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Embodiment Construction

[0049] In this example, if figure 1 As shown, a chemical pump maintenance strategy optimization method based on type 2 fuzzy language terms is carried out as follows:

[0050] Step 1. In the present embodiment, data acquisition includes three aspects, the one, the performance parameter of chemical pump, such as the center height, rotating speed and temperature of chemical pump etc.; The 2nd, the running state data of remote monitoring pump system; Observation and perception data, as well as evaluation language terms given by domain experts based on symptoms of system failures. Data preprocessing mainly includes; deleting obviously unreasonable data in the acquired data set.

[0051] Step 1.1. Use the triaxial test method to obtain the vibration data of the bearing seat of the chemical pump and process it with a data analyzer to obtain the time-frequency spectrum of the chemical pump's operating vibration; in this embodiment, the vibration test point sensors are respectively a...

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Abstract

The invention discloses a chemical pump maintenance strategy optimization method based on type-2 fuzzy language terms, which comprises the following steps of: 1, extracting a chemical pump operation vibration time-frequency map and an expert evaluation text of a remote monitoring system, preprocessing the language terms in the evaluation text, and determining a reasonable interval of language term semantics; 2, introducing an enhanced interval method, fuzzifying language terms, and constructing an interval 2 type fuzzy language term set; 3, carrying out logical reasoning of interval type 2 fuzzy language terms by utilizing a word calculation technology based on a fuzzy language weighted average method, and diagnosing operation faults of the chemical pump; 4, chemical pump maintenance strategy evaluation is carried out according to the diagnosis result; and 5, performing optimization decision on the maintenance strategy by using a fuzzy multi-criterion group decision theory. According to the method, the accuracy of uncertain language term expression can be improved, and the chemical pump degradation symptom can be accurately diagnosed, so that a theoretical support is provided for ensuring stable and safe operation of a petrochemical industry pump system.

Description

technical field [0001] The invention belongs to the field of decision-making of natural language terms, in particular to a method for optimizing maintenance strategies of chemical pumps based on Type 2 fuzzy language terms. Background technique [0002] Natural language terminology decision-making is the process of using computers to process human language and make decisions. It is an important aspect of subjective decision-making and belongs to the basic work of artificial intelligence. [0003] Natural language has the attribute of uncertainty, and the uncertainty treatment of language terms is the basis for ensuring the accuracy of executive decision-making. The uncertainty of natural language terms is non-probable in nature, and it is difficult to use precise numerical information to represent them. The words, phrases and sentences are obscure, implicit and ambiguous. The same language term has different semantics. Different individuals have different meanings for the sa...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06N7/02
CPCG06Q10/20G06N7/02
Inventor 彭建刚姚正杨彬申逸骋
Owner INTELLIGENT MFG INST OF HFUT
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