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Method and apparatus for optimizing diagnostics of rotating equipment

A technology for rotating equipment and text, applied in reasoning methods, neural learning methods, general control systems, etc., can solve problems such as unavoidable manual parameterization, inability to automatically predict historical cases, etc., and achieve the effect of reducing prediction errors.

Active Publication Date: 2018-11-09
西门子能源全球两合公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Considering both sensor and textual information, the common disadvantage of most of the previously mentioned potential working solutions is that they cannot automatically predict relevant historical cases, nor can they avoid extensive manual parameterization

Method used

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  • Method and apparatus for optimizing diagnostics of rotating equipment
  • Method and apparatus for optimizing diagnostics of rotating equipment
  • Method and apparatus for optimizing diagnostics of rotating equipment

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Experimental program
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Embodiment Construction

[0040] figure 1 Schematically showing the concept of using CBR and NLP based clustering and ranking concepts.

[0041] marked with 1, 2 and 3 figure 1 The previously mentioned steps of (1) detection 11 , (2) isolation 12 , (3) diagnosis 15 of sensor data 10 within one or more time windows (24h windows) are shown. In steps (2) and (3), the user can interact with the system via the dashboard 13 performing said steps. A preliminary notification 14 after step (2) and a customer notification 16 after step (3) may be useful, as in figure 1 shown in .

[0042]The proposed method uses both sensor data10 as well as natural language annotations for automatic identification of similar cases from the past. The results of the similarity analysis and calculation can be presented to the engineer / user to facilitate his / her search for solutions. It may be useful to integrate the recommendation mechanism with standard tools and / or with systems already in use at Remote Diagnostic Centers (R...

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PUM

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Abstract

Method and apparatus for optimizing diagnostics of rotating equipment are disclosed. The present invention generally relates to a method and an apparatus for optimizing diagnostics of rotating equipment, in particular a gas turbine. The apparatus comprises: a) Means (11) for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features (10) of at least one available sensor taking measurements during a predefinable time period, b) means (20) for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and / or alerts of the rotating equipment, c) whereby status information is supplemented with via deep learning predicted probabilities whether awarning and / or an alert has occurred within a time window, d) means (24) for providing an amount of textual diagnostic knowledge cases, e) means (17) for extracting semantic information on text features from the textual diagnostic knowledge cases, and f) means (19) for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.

Description

technical field [0001] The present invention generally relates to methods and apparatus for optimizing diagnostics of rotating equipment, particularly gas turbines. technical background [0002] Remote monitoring and diagnostics of rotating equipment is essential in practice. Remote diagnosis of gas turbines is a complex task that can be divided into three steps: (1) detection, (2) isolation, and (3) diagnosis. Recently, there has been an increased need for a systematic approach to plant process safety, increased reliability and availability, low maintenance costs, and continuous awareness about equipment health. This requirement challenges the existing tool environment, which is typically built upon the adoption of condition monitoring solutions and expert systems. Specifically, fault detection, fault isolation, fault mechanism definition, and diagnostic definition as part of systematic diagnostics are essential functionalities that support engineers in their decision-mak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02G06N3/04
CPCG05B23/0272G05B23/0275G06N5/022G06N5/041G01H1/006G01H17/00G06N3/042G06N3/045G06N7/01G05B19/406G05B23/0281G05B2219/33284G06N3/08
Inventor B.安德拉西R.阿尔纳特A.阿夫多维奇M.布克利F.布根蒂因G.F.策奇尼Z.科塔T.胡鲍尔D.克罗姆帕斯D.纳德里M.罗什钦S.施皮克曼M.维尔纳
Owner 西门子能源全球两合公司
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