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EP1573579A2 - Verfahren der diagnostik von störungen des funktionierens einer gesamtheit elektronischer systeme - Google Patents

Verfahren der diagnostik von störungen des funktionierens einer gesamtheit elektronischer systeme

Info

Publication number
EP1573579A2
EP1573579A2 EP03799675A EP03799675A EP1573579A2 EP 1573579 A2 EP1573579 A2 EP 1573579A2 EP 03799675 A EP03799675 A EP 03799675A EP 03799675 A EP03799675 A EP 03799675A EP 1573579 A2 EP1573579 A2 EP 1573579A2
Authority
EP
European Patent Office
Prior art keywords
data
particular values
electronic systems
fault
systems
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP03799675A
Other languages
English (en)
French (fr)
Inventor
Samuel Boutin
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Renault SAS
Original Assignee
Renault SAS
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 Renault SAS filed Critical Renault SAS
Publication of EP1573579A2 publication Critical patent/EP1573579A2/de
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0278Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0243Electric 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 model based detection method, e.g. first-principles knowledge model
    • G05B23/0245Electric 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 model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
    • G05B23/0251Abstraction hierarchy, e.g. "complex systems", i.e. system is divided in subsystems, subsystems are monitored and results are combined to decide on status of whole system
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Definitions

  • the present invention relates to a method for diagnosing a set of electronic systems comprising components (A n , - C n i, - UCE n ; B), producing and consuming data, at least one of said data (xi) being capable of taking a particular predetermined value (Xi P ), following the appearance of a malfunction of at least one of the components (A n i, - C n i, - UCE n ; B) of said set .
  • FIG. 1 of the attached drawing for example for a vehicle.
  • These components essentially comprise electronic control units or "computers" UCE m , each computer possibly being connected to sensors C n i and to actuators A m j , all the computers being connected to at least one same bus B for transmitting therein. or receive information, for example multiplexed, from or to other computers connected to bus B.
  • This multiplexing is obtained in particular, as is well known for the CAN bus for example, by introducing the information in question in messages materialized by digital signal frames.
  • the S 2 system of "engine control” includes the ECU computer, several sensors C i sensitive to quantities such as the engine speed, for internal combustion for example, the pressure at the intake manifold of this engine, the pressure of the outside air, engine coolant water temperature, air temperature, battery charge status, and several Aj actuators.
  • the ECU 2 computer is duly programmed to execute several engine control functions such as: idling control, regulation of the richness of the air / fuel mixture, adjustment of the ignition advance of this mixture and re -exhaust gas circulation.
  • the ECU 2 computer uses information from the aforementioned sensors C i and develops control signals for the actuators A constituted by an additional air control valve and a spark plug ignition coil for the "idle speed regulation” function. ", a fuel injector for the" richness regulator “function, the same ignition coil for the” ignition advance “function and a valve for the" exhaust gas recirculation "function.
  • this method does not make it possible to select a type of fault for the diagnosis. For example, we do not know how to search only for breakdowns coming from connectors for example, or to look for the most probable breakdowns first, this probability resting on a knowledge of the design techniques implemented.
  • the present invention relates to a method for diagnosing a malfunction of a set of electronic systems, said systems comprising components (A n i, - C n ⁇ ; UCE n ; B), producing and consuming data, at least one of said data (xi) being capable of taking a particular predetermined value (x_ p ), such as for example an indication of fault stored in a memory of a computer, following the appearance of a malfunction of at least one of components (.
  • class (a) during a design phase of architecture of said set of systems, the particular values according to the types of associated faults and said classification is recorded in a computer memory, for example in the form of a look-up table; ii) a diagnostic tool is connected, during a diagnostic phase, to said set of electronic systems, said tool having access to said classification; iii) removing (b) the particular values corresponding to types of component faults predefined in said classification as particularly reliable; iv) selecting (c) the data (xi) having taken a particular value (x ⁇ p ); v) there is automatically calculated (d), for each data item (xi) selected in step (iv), a group (X ⁇ j .
  • step (vi) It is possible, if no defect remains in step (vi), to start again in step (ii) taking into account (j) the classes of defect which had been previously eliminated. It is possible, if a fault remains in step (vi), to verify that one of the faults identified in phase (g) is indeed the cause of the problem which led to launching said diagnostic phase and if this is not the case, we resume step h).
  • Types of faults can belong to at least one of the categories listed below: the values created following the unavailability of data sent by a function, - the particular values created following the detection of a fault in a sensor or actuator,
  • Said set of electronic systems may include a set of systems for equipping a vehicle.
  • the method may include a step of analyzing the feasibility and / or fallibility of said set of electronic systems and establishing an output indicating said feasibility and / or fallibility.
  • the present invention also provides an article of commerce comprising a memory readable by a computer, a program executable by a computer being recorded on said memory for diagnosing malfunctions of a set of electronic systems, characterized in that said program includes coding for: i) classifying (a), during a design phase of the architecture of said set of systems, the particular values according to associated types of defect and said classification is recorded in a computer memory, for example under the form of a consultation table; ii) connecting, during a diagnostic phase, a diagnostic tool to said set of electronic systems, said tool having access to said classification; iii) delete (b) the particular values corresponding to types of component faults predefined in said classification as particularly reliable; iv) select (c) the data (xi) having taken a particular value (xi P ); v) automatically calculate (d), for each datum (xi) selected in step (iv), a group
  • (X ⁇ ) data likely to be at the origin of the particular values (x-. P ) taken by the data (xi); vi) automatically establish a list (X ⁇ ) of the data contained in the intersection of said groups (X ⁇ i) of data, and vii) record particular values and their propagation on a storage means for a tool intended for the diagnosis of said set of electronic systems.
  • the present invention also provides a computer tool programmed for the diagnosis of a set of electronic systems using steps of the method of the present invention or programmed using a trade item of the present invention.
  • Said set of electronic systems may include a set of systems for equipping a motor vehicle.
  • FIG. 1 is a diagram of a set of systems devices that it is proposed to provide with means of diagnosing operating faults according to the present invention, this assembly being described in the preamble to this description
  • FIG. 2 is a block diagram describing the application of the invention in a method diagnostic of electronic system failure.
  • the particular values of the data produced by the components of a set of systems can be categorized, in particular during the design phase, according to the types of defects that they reflect.
  • the particular values diagnosing a fault on a wired link in particular short circuits to ground and open circuits
  • the particular values relating to the detection of a communication fault on a multiplex bus originating in particular from an absent data frame
  • the particular values relating to the absence of a computer on a network one can then distinguish the particular values produced within the isolated computer and the particular values produced by computers observing the isolated computer.
  • This category of particular values is produced for example when data frames of said network are absent, that is to say that they are expected and not received; - the particular values relating to a failure to execute on a computer, for example memory corruption, i.e. an accidental inversion of at least one bit in memory, detected by a CRC (Cyclic Redundancy Check ) or cyclic redundancy test of a re-initialization of said computer following the detection of an anomaly by a program on board said computer; the particular values relating to a supply fault; and the particular values characterizing a combination of defects.
  • memory corruption i.e. an accidental inversion of at least one bit in memory
  • CRC Cyclic Redundancy Check
  • cyclic redundancy test of a re-initialization of said computer following the detection of an anomaly by a program on board said computer
  • the particular values relating to a supply fault and the particular values characterizing a combination of defects.
  • a method of diagnosing malfunctions of a set of electronic systems producing and consuming data at least one of said data (xi) being capable of taking on a particular value (x ⁇ ) predetermined, following the appearance of a malfunction of at least one of the components of said assembly, this method comprising the following steps: a) at the launch of a diagnostic phase, the data (xi) are selected which have a particular value (x ⁇ p ), b) for each datum (i) thus selected, we search for the group (X ⁇ j .
  • this data is excluded from this list belonging to categories deemed more reliable by the person skilled in the art, for example only the particular values relating to connection faults are initially retained , or, if the searches have yielded nothing at this point, we add particular values of categories previously excluded;
  • each datum (xi) which has a particular value (x ⁇ p ) is selected;
  • said list (X ⁇ ) is analyzed to identify the component or components of the assembly of which a malfunction is the cause of the particular values (x ⁇ p ) taken by said data (i);
  • step g) 245 given the faults envisaged in step f) 240, all the particular values corresponding to faults which have not been observed on the system are excluded, whether by l skilled in the art after precise verification or by observation of the operation of certain components. For example, a lamp supply wire cannot be shorted if the lamp can be turned on and off. Therefore, if a particular value characterizing the said short-circuit was envisaged, it can be excluded.
  • step j) 255 during which, in case, after step g) 245, there remains no particular value to be examined, this may mean that one has excluded too many possibilities at the beginning of the analysis, and the process is repeated from step c) 225, but retaining particular categories of value excluded hitherto in the analysis;
  • step h) 250 during which the results of step g) 245 are examined and if, after examination, the envisaged faults do not allow a fault to be identified, the process is repeated in step c) 225 by extending the scope of the research to new categories of particular values during step j) 255.
  • probabilities of occurrence drawn from empirical measures for example, we can assign to the different particular values probability of occurrence.
  • a particular value covers several faults, possibly coming from different categories, it inherits the sum of the probabilities of occurrence of each of the faults.
  • the set of electronic systems may include a set of systems for equipping a motor vehicle.
  • the method of the invention may include a step of analyzing the feasibility and / or fallibility of said set of electronic systems and a step of establishing an output indicating said feasibility and / or fallibility. It can help accepting or rejecting a set of systems, for example proposed for a car.
  • This process can be implemented using a computer tool allowing the editing of the various objects necessary for the design and the partial automation of the various stages of the process constituted by the invention.
  • the method of the invention can be programmed on an article of commerce comprising a memory readable by a computer, for example a CD, DVD or equivalent or on the hard disk of a computer.
  • a program for the method will be executable by a computer, and will be recorded on said memory to be executed by said computer.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Algebra (AREA)
  • Automation & Control Theory (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Operations Research (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Quality & Reliability (AREA)
  • Fuzzy Systems (AREA)
  • Test And Diagnosis Of Digital Computers (AREA)
  • Testing And Monitoring For Control Systems (AREA)
EP03799675A 2002-12-20 2003-12-19 Verfahren der diagnostik von störungen des funktionierens einer gesamtheit elektronischer systeme Withdrawn EP1573579A2 (de)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
FR0216356 2002-12-20
FR0216356A FR2849236B1 (fr) 2002-12-20 2002-12-20 Procede de diagnostics d'un ensemble de systemes electroniques
PCT/FR2003/003850 WO2004059519A2 (fr) 2002-12-20 2003-12-19 Procede de diagnostic de defaut de fonctionnement d’un ensemble de systemes electroniques

Publications (1)

Publication Number Publication Date
EP1573579A2 true EP1573579A2 (de) 2005-09-14

Family

ID=32406286

Family Applications (1)

Application Number Title Priority Date Filing Date
EP03799675A Withdrawn EP1573579A2 (de) 2002-12-20 2003-12-19 Verfahren der diagnostik von störungen des funktionierens einer gesamtheit elektronischer systeme

Country Status (6)

Country Link
US (1) US7418321B2 (de)
EP (1) EP1573579A2 (de)
JP (1) JP2006515089A (de)
KR (1) KR101002379B1 (de)
FR (1) FR2849236B1 (de)
WO (1) WO2004059519A2 (de)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4250601B2 (ja) * 2005-02-21 2009-04-08 いすゞ自動車株式会社 車載部品評価システム
US7693648B2 (en) * 2007-11-27 2010-04-06 Caterpillar Inc. System and method for detecting misassembly of an exhaust aftertreatment system of a machine
FR2931266B1 (fr) 2008-05-19 2010-08-20 Peugeot Citroen Automobiles Sa Procede d'aide au diagnostic pour la determination de cause(s) de dysfonctionnement(s) dans un systeme complexe
US10540828B2 (en) 2014-09-26 2020-01-21 International Business Machines Corporation Generating estimates of failure risk for a vehicular component in situations of high-dimensional and low sample size data
US9286735B1 (en) * 2014-09-26 2016-03-15 International Business Machines Corporation Generating cumulative wear-based indicators for vehicular components
US9454855B2 (en) 2014-09-26 2016-09-27 International Business Machines Corporation Monitoring and planning for failures of vehicular components
US10769866B2 (en) 2014-09-26 2020-09-08 International Business Machines Corporation Generating estimates of failure risk for a vehicular component
US9514577B2 (en) 2014-09-26 2016-12-06 International Business Machines Corporation Integrating economic considerations to develop a component replacement policy based on a cumulative wear-based indicator for a vehicular component
US20180145497A1 (en) * 2016-11-23 2018-05-24 Schneider Electric USA, Inc. Method to utilize multiple configuration software for df/cafi breakers
CN111506049B (zh) * 2020-04-27 2022-03-22 西北工业大学 基于aann网络系统的航空发动机控制系统多重故障诊断方法

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FR2775806B1 (fr) 1998-03-04 2001-11-23 Valeo Electronique Outil informatique pour l'etude d'architectures electriques destinees a etre disposees a l'interieur d'un vehicule automobile
US6697763B1 (en) 1999-12-07 2004-02-24 Pei Electronics, Inc. Measurement module and system for monitoring the status of armored vehicle electronic components
TW544559B (en) 2000-09-19 2003-08-01 Mitsubishi Motors Corp Failure diagnosis apparatus and failure diagnosis method of vehicular electronic control system
US20020183971A1 (en) * 2001-04-10 2002-12-05 Wegerich Stephan W. Diagnostic systems and methods for predictive condition monitoring
US6745153B2 (en) * 2001-11-27 2004-06-01 General Motors Corporation Data collection and manipulation apparatus and method
FR2833353B1 (fr) 2001-12-07 2004-06-18 Renault Procede de diagnostic de defauts de fonctionnement d'un ensemble de systemes electroniques, notamment dans un vehicule automobile
GB0216858D0 (en) * 2002-07-19 2002-08-28 Bae Systems Plc Fault diagnosis system

Non-Patent Citations (2)

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Title
None *
See also references of WO2004059519A3 *

Also Published As

Publication number Publication date
JP2006515089A (ja) 2006-05-18
US20060136155A1 (en) 2006-06-22
KR101002379B1 (ko) 2010-12-20
US7418321B2 (en) 2008-08-26
FR2849236B1 (fr) 2005-02-04
FR2849236A1 (fr) 2004-06-25
WO2004059519A2 (fr) 2004-07-15
KR20050094821A (ko) 2005-09-28
WO2004059519A3 (fr) 2004-10-28

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