Method For Characterising One Or More Faults In A System

• US 20190318837A1
• Filed: 12/14/2017
• Published: 10/17/2019
• Est. Priority Date: 12/22/2016
• Status: Abandoned Application

• Current Assignee: Electricitã© De France, Metroscope Co.
• Original Assignee: Electricitã© De France
• Inventors: Schwartz, Aurelien, Pineau, David
• Application Number:
  US16/471,857
• Publication Number:
  US 20190318837A1
• Time in Patent Office: Days
• CPC Class Codes: G05B 23/0254 based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
• CPC Class Codes: G05B 23/0275 Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
• CPC Class Codes: G05B 23/0283 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] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: G06F 11/008 Reliability or availability analysis
• CPC Class Codes: G06F 17/16 Matrix or vector computation , e.g. matrix-matrix or matrix-vector multiplication, matrix factorization matrix transposition G06F7/78
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G21D 3/001 Computer implemented control
• CPC Class Codes: G21D 3/06 responsive to faults within the plant in the reactor G21C9/00
• CPC Class Codes: Y02E 30/00 Energy generation of nuclear origin

Abstract

The invention relates to a method for characterising one or more faults in a system grouping together a plurality of internal physical quantities and delimited by a plurality of boundary physical quantities, the system being modelled by a healthy model establishing relationships linking said internal physical quantities with one another and with the boundary physical quantities in the absence of a fault, a fault being defined as an alteration in the relationships linking said internal physical quantities with one another and with the boundary physical quantities with respect to the healthy model, wherein a fault is characterised by counting a number of iterations having involved said fault in a series of iterations involving a fault matrix.

Claims

1. Method for characterising one or more faults in a system grouping together a plurality of internal physical quantities and delimited by a plurality of boundary physical quantities,

the system being modelled by a healthy model establishing relationships linking said internal physical quantities with one another and with the boundary physical quantities in the absence of a fault, a fault being defined as an alteration in the relationships linking said internal physical quantities with one another and with the boundary physical quantities with respect to the healthy model,

said system being provided with a plurality of sensors measuring values of internal physical quantities and external physical quantities,

the method comprising:

determining a vector of the measured measurements of a set of internal physical quantities by reading the values of internal physical quantities measured by the sensors,

determining a vector of actual symptoms by the difference between the vector of measured measurements and a vector of expected measurements, said vector of expected measurements grouping together values of internal physical quantities obtained by simulation of the healthy model from the boundary physical quantities,

wherein the method further includes the implementation of the steps of;

for a determined number of iterations;

determination of a proposed vector of faults from the current vector of faults by a pseudo-random sampling using a probability law on each of the fault values of the current vector of faults, a vector of faults grouping together values representative of one or more faults;

determination of a probability of acceptance of the proposed vector of faults using the vector of actual symptoms, a fault matrix, the current vector of faults, a probabilistic distribution of the vector of actual symptoms given the current vector of faults, the proposed vector of faults, a probabilistic distribution of the vector of actual symptoms given the proposed vector of faults, and an a priori probability distribution of occurrences of a values of the fault vector, said fault matrix grouping together consequences of each fault on the internal physical quantities;

replacement or not of the current vector of faults by the proposed vector of faults as a function of the probability of acceptance of the proposed vector of faults,

characterising a fault by counting a number of iterations having involved said fault in a current vector of faults.

2. The method of claim 1, wherein the determination of the probability of acceptance of the proposed vector of faults uses in addition a proposed vector of symptoms and a current vector of symptoms, the current vector of symptoms being determined from the current vector of faults using the fault matrix, and the proposed vector of symptoms being determined from the proposed vector of faults using the fault matrix.

3. The method of claim 1, wherein each column of the fault matrix corresponds to a signature vector of at least one fault representative of an impact of said fault on the internal physical quantities measured by sensors, and a number of lines of the matrix is determined by the number of measured internal physical quantities taken into account and a number of columns of the matrix is determined by a number of faults taken into account.

4. The method of claim 3, comprising a prior step of determination of the fault matrix, in which is determined for each fault:

a first vector of simulated measurements by simulation of the healthy model from the boundary physical quantities;

a second vector of simulated measurements by simulation of the healthy model by altering the relationships linking said internal physical quantities with one another and with the boundary physical quantities of the healthy model as a function of the fault with the same boundary physical quantities;

the signature vector of the fault corresponding to a difference between the second vector and the first vector.

5. The method of claim 1, wherein a set of faults affecting the system are known beforehand and entered into a vector of known faults, and during the iterations, the current vector of faults is completed by the vector of known faults.

6. The method of claim 5, wherein the current vector of symptoms is determined from the fault matrix, the current vector of faults and the vector of known faults, and the proposed vector of symptoms is determined from the fault matrix, the proposed vector of faults and the vector of known faults.

7. The method of claim 1, wherein the characterisation of a fault includes determining a probability of the presence of the fault in the system and/or the determination of a value of this fault.

8. The method of claim 1, wherein the probability of acceptance of the proposed vector of faults is determined by comparing a density of the joint law at a point of the proposed vector of faults with a density of the joint law at a point of the current vector of faults, the densities of the joint law at the aforementioned points being determined by the vector of actual observed symptoms, the fault matrix, the proposed vector of faults, the current vector of faults, the probabilistic distribution of the vector of actual symptoms given the current vector of faults, the probabilistic distribution of the vector of actual symptoms given the proposed vector of faults, and the a priori probability distribution of occurrences of the values of the proposed vector of faults.

9. Non-transitory computer readable medium comprising programme code instructions stored thereon for executing the steps of the method according to claim 1, when said on-transitory computer readable medium is read by a computer.