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WO2008003575A2 - Instrument de mesure avec surveillance d'état et procédé de surveillance de l'état d'un instrument de mesure - Google Patents

Instrument de mesure avec surveillance d'état et procédé de surveillance de l'état d'un instrument de mesure Download PDF

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Publication number
WO2008003575A2
WO2008003575A2 PCT/EP2007/055912 EP2007055912W WO2008003575A2 WO 2008003575 A2 WO2008003575 A2 WO 2008003575A2 EP 2007055912 W EP2007055912 W EP 2007055912W WO 2008003575 A2 WO2008003575 A2 WO 2008003575A2
Authority
WO
WIPO (PCT)
Prior art keywords
sensor
measuring arrangement
values
data
operating data
Prior art date
Application number
PCT/EP2007/055912
Other languages
German (de)
English (en)
Other versions
WO2008003575A3 (fr
Inventor
Wolfgang Babel
Andreas Gommlich
Thomas Alber
Original Assignee
Endress+Hauser Conducta Gesellschaft Für Mess- Und Regeltechnik Mbh+Co. Kg
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Endress+Hauser Conducta Gesellschaft Für Mess- Und Regeltechnik Mbh+Co. Kg filed Critical Endress+Hauser Conducta Gesellschaft Für Mess- Und Regeltechnik Mbh+Co. Kg
Priority to EP07765427A priority Critical patent/EP2041518A2/fr
Publication of WO2008003575A2 publication Critical patent/WO2008003575A2/fr
Publication of WO2008003575A3 publication Critical patent/WO2008003575A3/fr

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
    • G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
    • G01N27/416—Systems
    • G01N27/417—Systems using cells, i.e. more than one cell and probes with solid electrolytes
    • G01N27/4175—Calibrating or checking the analyser
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D3/00—Indicating or recording apparatus with provision for the special purposes referred to in the subgroups
    • G01D3/08—Indicating or recording apparatus with provision for the special purposes referred to in the subgroups with provision for safeguarding the apparatus, e.g. against abnormal operation, against breakdown
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks

Definitions

  • the subject relates to a measuring arrangement with condition monitoring and a method for condition monitoring of a measuring arrangement.
  • a variety of diagnostic functions are provided for measuring arrangements which comprise at least one sensor and a device for measuring value processing, for example a measuring transducer.
  • a device for measuring value processing for example a measuring transducer.
  • diagnosis of measurement or state variables with the monitoring by means of warning and alarm limit values of a minimum and maximum value are state-of-the-art today. This ensures the monitoring of individual sensor properties of interest.
  • Monitoring device for the load of measuring probes by influences from the measuring environment also takes into account the current characteristics of the measuring environment as well as the history of the process conditions.Thus, depending on a load model, an evaluation of the already loaded load of the measuring system is possible Derive statements about the remaining service life of the system.
  • a comprehensive diagnosis of the measuring device is necessary.
  • information is to be made available to a higher-level system or to a supervisor of the measuring device, which makes it possible to diagnose the sensor and the transmitter in detail and / or the entire measuring arrangement with regard to the stated requirements.
  • the diagnosis should include an assessment of the current state of the measurement arrangement and preferably a prognosis of the future state.
  • the measuring arrangement according to the invention comprises at least one sensor for
  • a data processing unit which evaluates the sensor signal, wherein
  • the data processing unit comprises a data memory in which different types of operating data of the sensor are stored,
  • State variables of the measuring arrangement determines where in each of these at least two state variables in each case enter values of at least two different types of operating data, wherein
  • the data processing unit further based on the values of at least two State variables classified a state of the measuring device, and the result of the
  • the inventive method may be implemented in the measuring arrangement, but in principle also outside of the measuring arrangement in a separate
  • the operating data preferably go with a predetermined weight in the
  • State variables may be main components that have been determined by means of a principal component analysis.
  • the operating data go in one by means of
  • Principal Component Analysis determined weighting into the major components. To carry out the principal component analysis can for an ensemble of
  • Measurement arrangements and their immediate process environment operating data are included, which belong to a specific and interesting for diagnostic purposes state of a particular class.
  • Such classes may, for example, be in need of maintenance (generally), needing calibration, polluted, drifting measured value, measured value dripped off, defective, etc.
  • Operating data or characteristics of the measurement arrangements under consideration are, for example
  • calibration data such as zero point and span
  • Load data of a sensor for example pressure, vibrations, dirt load in the measuring medium, etc.
  • All data can be determined by the measuring arrangement or by means of auxiliary sensors and the measuring arrangement can be provided in a suitable manner.
  • Operating data for optical sensors are, for example:
  • Operating data for amperometric sensors are, for example:
  • Load data (temperature, pH, pressure, CIP cycles ?) can also play a role in these sensors.
  • Result of the data acquisition is an extensive data table in the line by line, the measurement arrangements (sensors and Messunformer) and column by column the operating data or characteristics for the different measuring arrangements can be found.
  • This representation can be viewed geometrically as a multidimensional space in which each measurement arrangement is characterized as a point. Both the geometric representation and the tabular representation contain the complete information.
  • the state of a measuring arrangement can be represented as a point on a plane or in, for example, a two to four-dimensional state space.
  • the individual dimensions (main components) contain information of several characteristics or operating data and are thus no longer directly physically interpretable as in the complete representation.
  • This reduced representation depicts the considerable information content of the sum of the operating data for the evaluation of a measuring arrangement. Operating data with little or no variation are ignored. If the sensors are coded according to their state in this reduced "diagnostic state space", it can be recognized whether these state maps reproduce themselves If this is the case, a simple diagnostic function can be implemented as a classifier in a sensor or a measurement arrangement with a transformation rule derived from the principal component analysis ,
  • the state classes can be diagnosed via the transformation and simple classifiers (polynomial of the main components).
  • the prediction of times, from which the monitored sensor leave a certain state or from which he will assume a particular state depends on several operating data, which are difficult to describe due to inherent physical and chemical relationships.
  • Fig. 1 is a schematic representation of some elements of a measuring arrangement according to the invention.
  • FIG. 2 shows a general structure of a feature data matrix for performing a multivariate analysis, in particular a principal component analysis
  • FIG. 3 shows an example of a feature matrix for an ensemble of pH sensors for performing a principal component analysis
  • Fig. 4 shows the result of the principal component analysis for the ensemble pH sensors from Fig. 3.
  • a measuring arrangement according to the invention comprises a
  • the operating data may be sensor data such as the measured variable or sensor temperature or sensor impedance, for example, or additional information such as calibration data (slope or zero point) or externally determined process data, for example the number of CIP cycles.
  • derived operating data which are of interest for determining the sensor state, can be generated by means of a software module, which is designated as operator 4.
  • This derived data may be, for example, differentiated or integrated sensor data or data describing a spectrum or the noise of the sensor.
  • the operating data are then fed to a classifier 5, which determines the values of the main components based on the operating data with the respectively required, predetermined weightings (loads).
  • a classifier 5 determines the values of the main components based on the operating data with the respectively required, predetermined weightings (loads).
  • Main component analysis is performed, which compresses the relevant information and disregards low-content features.
  • FIG. 4 The result of the principal component analysis is shown in FIG. In the left part of Fig. 4 it can be seen that the two groups of sensors, namely, "good” and “poor” in the two-dimensional diagnostic state space spanned here, form again separate positions in the diagnostic state space via two main components. A classification according to "good” and “bad” as indicated by the ellipses, can thus in the measuring operation after Determination of the values for the two main components easily done.
  • the weighting with which the individual sensor characteristics or operating data enter into the main components is shown in the right-hand part of FIG. 4.
  • the predictive diagnosis is the
  • Changes in the position of a sensor in the diagnostic state space are evaluated by means of a trend analysis, and a prognosis is made as to when the position will leave the area of the current class or how long it will take to reach the area of another class.
  • the diagnostic state space may also include more than two major components, for example, three or four.
  • other methods of multivariate analysis can be used instead of the principal component analysis.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Automation & Control Theory (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Testing Or Calibration Of Command Recording Devices (AREA)

Abstract

Instrument de mesure comprenant au moins un détecteur permettant de détecter une grandeur de mesure et d'émettre un signal fonction de la grandeur de mesure, une unité de traitement de données permettant d'évaluer le signal de détecteur, ladite unité de traitement de données présentant une mémoire de données dans laquelle sont enregistrés différents types de caractéristiques de fonctionnement du détecteur. Cette unité de traitement de données permet de déterminer les valeurs d'au moins deux variables d'état différentes de l'instrument de mesure, chacune de ces deux variables d'état ou plus comportant respectivement des valeurs d'au moins deux types différents de caractéristiques de fonctionnement. L'unité de traitement de données permet également de classer un état de l'instrument de mesure à l'appui des valeurs desdites au moins deux variables d'état, et de donner le résultat de classification. Le procédé selon l'invention peut être mis en oeuvre dans l'instrument de mesure, mais en principe également exécuté en dehors de l'instrument de mesure dans une installation de traitement de données.
PCT/EP2007/055912 2006-07-01 2007-06-14 Instrument de mesure avec surveillance d'état et procédé de surveillance de l'état d'un instrument de mesure WO2008003575A2 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP07765427A EP2041518A2 (fr) 2006-07-01 2007-06-14 Instrument de mesure avec surveillance d'état et procédé de surveillance de l'état d'un instrument de mesure

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE200610030895 DE102006030895A1 (de) 2006-07-01 2006-07-01 Messanordnung mit Zustandsüberwachung und Verfahren zur Zustandsüberwachung einer Messanordnung
DE102006030895.6 2006-07-01

Publications (2)

Publication Number Publication Date
WO2008003575A2 true WO2008003575A2 (fr) 2008-01-10
WO2008003575A3 WO2008003575A3 (fr) 2008-04-03

Family

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Family Applications (1)

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PCT/EP2007/055912 WO2008003575A2 (fr) 2006-07-01 2007-06-14 Instrument de mesure avec surveillance d'état et procédé de surveillance de l'état d'un instrument de mesure

Country Status (3)

Country Link
EP (1) EP2041518A2 (fr)
DE (1) DE102006030895A1 (fr)
WO (1) WO2008003575A2 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8510064B2 (en) 2009-03-06 2013-08-13 Hach Lange Gmbh Method for determining a condition indicator of a water analysis apparatus
CN120252814A (zh) * 2025-03-14 2025-07-04 辰瓴半导体(嘉兴)有限公司 一种敏感元器件寿命检测方法和系统

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DE102007053223A1 (de) 2007-11-06 2009-05-07 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Verfahren zum Betreiben einer Messstelle, Messstelle und Sensoreinheit für eine solche Messstelle
DE102008029672B3 (de) * 2008-06-24 2010-02-25 I-For-T Gmbh Vorrichtung und Verfahren zur Zustandsüberwachung und Zustandsdiagnose einer Maschine, Maschinenkomponente oder Anlage
DE102008032885A1 (de) * 2008-07-14 2010-01-21 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Verfahren und Vorrichtung zur Überprüfung und Feststellung von Zuständen eines Sensors
DE102008045840B4 (de) * 2008-09-05 2023-11-02 Endress+Hauser Conducta Gmbh+Co. Kg Verfahren zum Betreiben einer Prozess-Messstelle
DE112010004388B4 (de) * 2009-11-13 2019-03-14 Leica Biosystems Nussloch Gmbh Anzeige eines systemzustands einer behandlungseinrichtung für mikroskopische proben
DE102011084957A1 (de) * 2011-10-21 2013-04-25 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Anordnung zur Überwachung eines Sauerstoffgehaltes in einer Prozesseinrichtung
DE102012112784A1 (de) 2012-12-20 2014-06-26 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Verfahren zur Bestimmung eines Zustands eines Sensors
DE102013102721A1 (de) * 2013-03-18 2014-09-18 Endress + Hauser Conducta Gesellschaft für Mess- und Regeltechnik mbH + Co. KG Verfahren zur Bestimmung eines Zustandes eines, eine Glasmembran umfassenden pH-Sensors
DE102014204631A1 (de) * 2014-03-13 2015-09-17 Robert Bosch Gmbh Vorrichtung, Verfahren und System zur Fehlererkennung, Fehlerdiagnose und Fehlerkorrektur in einem Sensornetzwerk
DE102017128566A1 (de) 2017-12-01 2019-06-06 Endress+Hauser Flowtec Ag Sensoranordnung zur Anordnung an einer Prozessanlage, sowie Verfahren zum Betrieb der Sensoranordnung und Prozessanlage
DE102019114341A1 (de) * 2019-05-28 2020-12-03 Endress+Hauser Conducta Gmbh+Co. Kg Verfahren zur Funktionsüberprüfung einer ionenselektiven Elektrodenbaugruppe
CN116304819A (zh) * 2023-03-15 2023-06-23 四川大学 一种基于LeNet-5算法的核反应堆运行工况判断方法

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DE4100501A1 (de) * 1991-01-10 1992-07-16 Bodenseewerk Geraetetech Verfahren und einrichtung zum erkennen von fehlern an sensoren fuer zustandsgroessen
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8510064B2 (en) 2009-03-06 2013-08-13 Hach Lange Gmbh Method for determining a condition indicator of a water analysis apparatus
CN120252814A (zh) * 2025-03-14 2025-07-04 辰瓴半导体(嘉兴)有限公司 一种敏感元器件寿命检测方法和系统

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Publication number Publication date
WO2008003575A3 (fr) 2008-04-03
EP2041518A2 (fr) 2009-04-01
DE102006030895A1 (de) 2008-01-03

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