WO2012079753A1 - Dispositif et procédé de détermination de paramètres de fonctionnement caractéristiques pour la durée de vie, sur des éléments de machines de travail - Google Patents

Dispositif et procédé de détermination de paramètres de fonctionnement caractéristiques pour la durée de vie, sur des éléments de machines de travail Download PDF

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Publication number
WO2012079753A1
WO2012079753A1 PCT/EP2011/006310 EP2011006310W WO2012079753A1 WO 2012079753 A1 WO2012079753 A1 WO 2012079753A1 EP 2011006310 W EP2011006310 W EP 2011006310W WO 2012079753 A1 WO2012079753 A1 WO 2012079753A1
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WO
WIPO (PCT)
Prior art keywords
characteristic
parameter
working
operating
working element
Prior art date
Application number
PCT/EP2011/006310
Other languages
German (de)
English (en)
Inventor
Andri Hadi Winarso
Stefan Ullrich
Original Assignee
Robert Bosch Gmbh
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 Robert Bosch Gmbh filed Critical Robert Bosch Gmbh
Publication of WO2012079753A1 publication Critical patent/WO2012079753A1/fr

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Classifications

    • 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
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles

Definitions

  • the present invention relates to a method and an apparatus for determining operating quantities of working elements in working machines.
  • work elements such as bearings, gaskets, but also electronic elements such as circuits, capacitors and the like for use. These elements are subject to natural wear.
  • the invention can therefore be used in particular in the context of factory automation, for example in printing presses, machine tools or processing machines. Planned maintenance is to be made possible for the machine operator and, in particular, unplanned machine downtime reduced. In addition, the economically high consequential losses due to unplanned machine downtime are to be reduced.
  • CONFIRMATION COPY The present invention is therefore based on the object to obtain reliable statements about the state of the built-in components such as engine mounts or controllers in terms of maintainability, preferably both in terms of maturity and in terms of a forecast and the current operating state to avoid the failure. Furthermore, a state-oriented monitoring and selective measures should be possible.
  • At least one second parameter characteristic of this working element is determined, and then the first parameter and the second parameter are determined at a processor device.
  • the first characteristic parameter and the second characteristic parameter are linked and one for a lifetime of the
  • Processor device - determined.
  • the operating variable depends both on the first characteristic parameter and on the second characteristic parameter.
  • the characteristic for the life characteristic operating size is determined not only on the basis of a characteristic value, for example, an already expired operating time but also on the basis of at least one second parameter. This is based on the consideration that the life expectancy of a particular component may also depend on other constraints, such as torques, currents, temperatures, and the like.
  • at least one characteristic is determined not only on the basis of a characteristic value, for example, an already expired operating time but also on the basis of at least one second parameter. This is based on the consideration that the life expectancy of a particular component may also depend on other constraints, such as torques, currents, temperatures, and the like.
  • characteristic signal output For example, it can be checked whether a certain operating time is above or below a certain reference operating time and, depending on this, the resulting decisions can be made.
  • Characteristic also used to control the machine. This is based on the consideration that in many drives a variety of electrical variables in particular permanently determined and is also used for control such as
  • the parameter is recorded from the control and drive system and advantageously transmitted to an integrated database.
  • the characteristic parameters are advantageously determined continuously.
  • operating variables are also always determined on the basis of the parameters obtained, with physical and / or mathematical models or calculation formulas being used for this purpose.
  • the output of the operating-size-based information may be, for example, a message or a warning that indicates to the user that a particular item or component is about to be replaced.
  • At least one logical link is created between the first characteristic parameter and the second or generally one or more further characteristic parameters.
  • This logical join can be a join made up of a group of Is selected, which contains AND operations, OR operations, XOR operations, NOR operations, inversions and the like. Furthermore, it may also be general mathematical operations such as difference or summation. If necessary or depending on the case, this link can also be extended by further parameters K3, K4, K5, K6 ....
  • a statistical value is determined for at least one characteristic parameter. This value can be a
  • Work item is determined. For this purpose, it is also possible that temperature values are permanently read in a memory and a corresponding statistical value is determined. In this way, a long-term evaluation of corresponding data using the database is possible, in this way, the monitoring of limits is possible.
  • Characteristic repeatedly determined, this being done, for example, continuously or in working mode.
  • Characteristics selected which includes the number of operating hours, a temperature, an error rate, a current, a voltage, a rotational speed, a torque, a pressure, a rotational position and the like.
  • existing hardware components provide numerous such parameters electronically. For example, a controller can set the temperature, operating hours,
  • a controller may further include information about the type of a particular component, position limits,
  • a drive such as a motor, for example, characteristics such as
  • Other machine components which can be connected, for example, via SPS, can provide variables such as vibrations, external or external temperatures, air humidities, contamination levels and the like.
  • Characteristics are present and are sufficiently present are connected via correct logical and mathematical links to a conclusive statement about the current state of the corresponding elements.
  • Characteristics are present and are sufficiently present are connected via correct logical and mathematical links to a conclusive statement about the current state of the corresponding elements.
  • a diagnosis results, which in turn can lead to a prognosis, such as a prognosis over the term of an element.
  • a processor system such as an iDDS system is used, which has an evaluation logic.
  • This evaluation logic is advantageously freely definable, so that an adaptation to different machines or projects is possible in this way.
  • At least one characteristic variable is determined during a working operation of the working machine. Under the working operation is understood both the actual operation in which the machine is running and, where appropriate, breaks in operation, which are inserted between individual operations.
  • the operating variable is determined on the basis of empirical data.
  • these empirical data can be present within the framework of a matrix or a database, so that when two values are entered with the aid of this matrix, a specific statement about the size of the enterprise can be made.
  • at least one characteristic parameter is a running time of the working element, ie in particular of the working element, for which the remaining running time is to be calculated.
  • the first characteristic parameter and the second characteristic parameter are independent of each other and generally the selected characteristic parameters are at least partially independent
  • the first and the second parameter or in general the parameters together determine the size of the company, the characteristic
  • the present invention is further directed to a work machine with at least one working element subject to wear, wherein at least one first
  • Detection device which at least a first for this
  • a processor device which is based on the first characteristic parameter and the second
  • an information output device which in
  • the operating variable depends at least on a part of these parameters and preferably on all these parameters. It is therefore also proposed on the device side, that of the
  • the working machine has at least one linking device for the particular logical combination of the first parameter and the second parameter. This linkage can be carried out in the manner described above.
  • the linking device for the particular logical combination of the first parameter and the second parameter. This linkage can be carried out in the manner described above.
  • a linking device is provided for linking the selected parameters (i.e., possibly also a plurality of parameters).
  • FIG. 1 shows a rough schematic representation for illustrating a
  • FIG. 2 is another illustration for illustrating a work machine
  • Fig. 3 is a diagram for illustrating the extraction of operation quantities
  • These drive devices 12 may be servomotors, for example, but also pneumatic and / or hydraulic drives or the like.
  • detection devices or sensor devices 6 may already be present in these drive devices for detecting parameters, in particular those characteristic variables which are characteristic of the working elements 10, such as rotary encoders and the like.
  • the reference field 2 refers to control devices which serve to control the drive devices 12. These control devices can also have sensor devices 4 for acquiring characteristic values.
  • the reference numeral 3 refers to drive amplifiers, which also via
  • the reference numerals 5 and 7 also indicate externally provided, preferably retrofittable sensor devices. Sensor devices, for example for determining a temperature, operating hours and the like, can also be provided in the drive amplifiers 3 and the regulators 3.
  • the reference numeral 18 denotes a coupler, with which the individual
  • Control devices 2 are connected to a bus 16.
  • the control devices can communicate with a PC 20 via this bus.
  • the iDDS system is implemented on this PC 20.
  • further couplers 18 may be provided to connect, for example, further drives or machine units.
  • FIG. 2 illustrates the communication between the bus 16 and the PC 20 or a processor device 22.
  • the characteristics K1 and K2 are transferred to the processor device 22.
  • the operating variables B as detailed below, determined.
  • the operating variables B can be output to output devices 32.
  • the processor device 22 with a
  • Database 34 communicate or exchange data to determine the
  • Web server 36 are available as well as connect to the Internet 38 to
  • Reference numeral 25 denotes an output device for outputting information to the user, for example a specialist for more thorough analysis. Error messages or alarms can also be output.
  • FIG. 3 illustrates an example of how an operation quantity B could be determined.
  • the two parameters K1 and K2 of a linking device 42 which is an example of an " n " and "-linking device, are fed in. If the two characteristic variables K1 and K2 have specific values or specific ones
  • a corresponding information to the processor device 22 can be given. This can determine an operating variable B on the basis of or using empirical factors and uncertainties, and an output device 25 can output to the user information as to whether or when the replacement of a working element should be carried out.
  • the parameters K1 and K2 permanently removed from the machine or the system and checked. Furthermore, it is preferably also possible that the operating variables are permanently calculated on the basis of the parameters K1 and K2, physical and mathematical models or calculation formulas being particularly preferred.
  • the output system (32) can also permanently output information about, for example, a remaining term of a particular work item. Preferably, monitoring analyzes and diagnostic functions are also integrated in the system. In this way, a long-term evaluation of corresponding data is possible.
  • FIG. 4 illustrates another possibility for obtaining statements.
  • two first characteristic variables K1 and K2 are linked via an AND link 42 and subsequently coded together with a further parameter K3
  • a fourth parameter K4 can be read out.
  • These parameters are again supplied to the processor device 22, which performs mathematical operations such as plus, minus, times, divided, sine, cosine, logarithmic and the like. In addition, comparisons can also be made or limits can be determined.
  • An output Z of this processor device can in turn be coded with a further characteristic K5 (linking device 46).
  • This parameter K5 could, for example, be a specific transit time limit according to which a component is to be replaced in each case. If this maximum run time is exceeded, the user is issued a corresponding instruction, regardless of how the other parameters K1 and K4 behave. In each case, different operating variables or statements can be output by the information output device 25 as well as a remaining running time of the component and the like.
  • an interpretation unit is provided in order to merge the reference data and the parameters K1... Into an unambiguous statement.
  • this output is obtained, in particular, from elementary data, in particular for the purpose of analysis of the diagnosis, prevention, replacement of hardware and the like.
  • a first characteristic could initiate that an average temperature of a particular component is above 70 ° C
  • a second characteristic might be that the working time already elapsed of that work item is greater than 25,000 hours.
  • FIG. 5 shows a further possibility for a rating method according to the invention.
  • two parameters K1 and K2 are supplied to the processor device 20, in which case the processor device is a matrix or
  • the processor device can output here, for example, an intermediate statement Z, which can represent, for example, a maximum possible bearing life.
  • the characteristic value K3 may be, for example, the actual operating hours, whereby for example the actual number of operating hours can be deducted from the maximum possible bearing life by an addition or subtraction element 33 and the statement B can be made in accordance with this subtraction.
  • the statement B For example, this could mean that the component requires maintenance in about 2,500 hours.
  • Fig. 6 illustrates a further possibility for determining the operating variables.
  • two parameters K1 and K2 are supplied by way of example to a processor device 22, which uses these two parameters K1 and K2 on the basis of a calculation formula 27 to output an intermediate statement Z.
  • This intermediate statement Z may in turn include the maximum possible bearing life or component life.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

L'invention concerne un procédé destiné à déterminer des paramètres de fonctionnement d'éléments de travail dans des machines de travail, comprenant les étapes suivantes : déterminer un premier paramètre caractéristique (K1) de l'élément de travail; déterminer un deuxième paramètre caractéristique (K2) de l'élément de travail; transmettre le premier paramètre (K1) et le deuxième paramètre (K2) à un appareil de traitement; associer le premier paramètre caractéristique (K1) et le deuxième paramètre caractéristique (K2) et déterminer un paramètre de fonctionnement (B) caractéristique d'une durée de vie de l'élément de travail à l'aide de l'appareil de traitement, le paramètre de fonctionnement (B) dépendant à la fois du premier paramètre caractéristique (K1) et du deuxième paramètre caractéristique (K2); et produire une information qui se fonde sur le paramètre de fonctionnement.
PCT/EP2011/006310 2010-12-15 2011-12-14 Dispositif et procédé de détermination de paramètres de fonctionnement caractéristiques pour la durée de vie, sur des éléments de machines de travail WO2012079753A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102010054538.4 2010-12-15
DE102010054538A DE102010054538A1 (de) 2010-12-15 2010-12-15 Vorrichtung und Verfahren zur Ermittlung von Betriebsgrößen von Arbeitselementen in Arbeitsmaschinen

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WO2012079753A1 true WO2012079753A1 (fr) 2012-06-21

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018162198A1 (fr) * 2017-03-08 2018-09-13 Siemens Aktiengesellschaft Procédé et système de détermination d'une durée de vie attendue d'un moyen de fonctionnement électrique
US11287181B2 (en) 2016-03-28 2022-03-29 Carrier Corporation Automated diagnostics for transport refrigeration units

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10048826A1 (de) * 2000-09-29 2002-04-18 Bosch Gmbh Robert Verfahren und Vorrichtung zur Erfassung alterungsbedingter Veränderungen von technischen Systemen wie Elektromotoren
WO2002093279A2 (fr) * 2001-03-28 2002-11-21 Westinghouse Electric Company Llc Systeme d'affichage d'entretien preventif
EP1262922A2 (fr) * 2001-05-31 2002-12-04 WILO GmbH Surveillance de la durée de vie de pompes de circulation
WO2005052706A1 (fr) * 2003-11-24 2005-06-09 G.D Societa' Per Azioni Procede pour realiser l'entretien previsionnel d'un element fonctionnel d'une machine automatique
DE102007007845A1 (de) * 2006-02-23 2007-10-18 G.D Società per Azioni Verfahren und System für die prädiktive Wartung einer Produktionsanlage für die Bearbeitung von Rauchartikeln

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE10048826A1 (de) * 2000-09-29 2002-04-18 Bosch Gmbh Robert Verfahren und Vorrichtung zur Erfassung alterungsbedingter Veränderungen von technischen Systemen wie Elektromotoren
WO2002093279A2 (fr) * 2001-03-28 2002-11-21 Westinghouse Electric Company Llc Systeme d'affichage d'entretien preventif
EP1262922A2 (fr) * 2001-05-31 2002-12-04 WILO GmbH Surveillance de la durée de vie de pompes de circulation
WO2005052706A1 (fr) * 2003-11-24 2005-06-09 G.D Societa' Per Azioni Procede pour realiser l'entretien previsionnel d'un element fonctionnel d'une machine automatique
DE102007007845A1 (de) * 2006-02-23 2007-10-18 G.D Società per Azioni Verfahren und System für die prädiktive Wartung einer Produktionsanlage für die Bearbeitung von Rauchartikeln

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11287181B2 (en) 2016-03-28 2022-03-29 Carrier Corporation Automated diagnostics for transport refrigeration units
WO2018162198A1 (fr) * 2017-03-08 2018-09-13 Siemens Aktiengesellschaft Procédé et système de détermination d'une durée de vie attendue d'un moyen de fonctionnement électrique

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