EP0858017A2
Expired / Lapsed
EP
⏱️ 0.0 years remaining
Means and method for system performance tracking
Assignee: Qinetiq Ltd
•
Filing: 1998-01-27
•
Granted: —
•
Expires: 2018-01-27
Abstract
Abstract A method of tracking a system (1) having sensors (3) (e.g. gas turbine engines) by providing a computer model (4) which, from changes in sensor readings, can track (follow) changes in performance parameters of the system. These may be e.g. efficiencies of various of components such as compressors and turbines. In the common embodiment, the method used (Singular Value Decomposition) is a way of computing the most likely solution when there are more performance parameters than the number of sensors used and thus a degree of redundancy.. The method allows system diagnosis and most importantly a tracked model allows the selection of a tailored control regime (9) which results in optimum efficiency for the individual system (engine). <IMAGE>
Inventors
- 👤 Graham John Dadd
- 👤 Arthur Edwin Sutton
Bibliographic Details
Application Number
—
Jurisdiction
EP
Data Source
google_patents
Last Synchronized
2026-11-01 00:01
CPC Classifications
G; G05; G05B; G05B13/00; G05B13/02; G05B13/04; G05B23/00; G05B23/02; G05B23/0205; G05B23/0259; G05B23/0286; G05B23/0294
Claims Analysis
Total Claims: 15
Claim 1
Independent Claim
71 words
A model of a system having input from one or more sensors of said system and having
means to relate the vector of changes in performance parameters of said system dP , to the vector of
sensor output changes dx , where the vectors are of different dimensions, and to determine that
component of performance parameter changes which is common to all possible solutions and using
this to determine performance parameters.
Claim 2
Dependent Claim
70 words
A model of a system as claimed in claim 1 and wherein the means to determine the changes
in performance parameters of said system comprises means to store at least one non-square
coefficient matrix C, relating performance parameter changes to sensor changes, and means for
calculating a pseudoinverse of C, where dx = C dP dx is the vector of sensor changes and dP the vector of performance parameter changes.
Claim 3
Dependent Claim
36 words
A model of a system as claimed in claims 1 or 2 additionally having means to determine the
operating point of said system from said sensors, and selecting C matrix data dependent on said
operating point.
Claim 4
Dependent Claim
26 words
A model as claimed in claims 2 or 3 wherein said means to calculate the pseudoinverse of
matrix C uses the method of Singular Value Decomposition.
Claim 5
Dependent Claim
20 words
A model as claimed in claims 1 to 4 additionally having means to apply integration to
signals of sensor changes.
Claim 6
Dependent Claim
23 words
Monitoring means for a system having sensors comprising a model as claimed in claims 1
to 5, and means to indicate performance parameters.
Claim 7
Dependent Claim
98 words
Optimisation means for a system comprising a first model as claimed in claims 1 to 5 and a
second model having input thereto system sensor outputs and performance parameters from said
first model and comprising means to input to said second model varying inputs representing system
input demand parameters, means to determine the operational performance of said second model
depending on all inputs into said second model, means to select that set of input demand parameters
which results in optimum operational performance of said second model, and means to apply said
selected input demands parameters to the system.
Claim 8
Dependent Claim
26 words
Optimisation means for a system as claimed in claim 7 wherein said operational
performance is dependent on a set of demand criteria which can be varied.
Claim 9
Independent Claim
84 words
A method of tracking a system having sensors, comprising the steps of: a) providing a real time model having input from one or more of said sensors; b) storing at least one non-square coefficient matrix C relating sensor changes to
performance parameter changes; and c) calculating a pseudoinverse of matrix C, where dx = C dP , where dx is the vector of
system sensor changes and dP is the vector of performance parameter changes. b) from step (c) determining changes in performance parameters.
Claim 10
Dependent Claim
44 words
A method of tracking a system as claimed in claim 8 additionally including, between steps
(a) and (b) of claim 9, the additional steps of: (a) determine system operating point from said sensors, and (b) selecting C matrix data dependent upon said operating point.
Claim 11
Independent Claim
23 words
A method of tracking a system as claimed in claims 9 or 10, where step (b) uses the method
of Singular Value Decomposition.
Claim 12
Dependent Claim
23 words
A method of tracking a system as claimed in claim 11, additionally including the step of
applying signal integration to the dx vector.
Claim 13
Independent Claim
18 words
A method of monitoring a system comprising obtaining performance parameters from the
methods of claims 9 to 12.
Claim 14
Independent Claim
84 words
A method of optimisation of a system comprising sensors comprising the steps of: a) tracking a system as claimed in claims 9 to 12; b) providing a tracked model therefrom; c) inputting to said tracked model varying parameters representing system input
demand parameters; d) determining the operational performance of said model; e) selecting that set of said input demand parameters which results in optimum
operational performance of the model dependent on pre-selected criteria; and f) applying said selected input demand parameters to the system.
Claim 15
Dependent Claim
25 words
A method optimisation of a system as claimed in claim 14 additionally including
the step of selecting optimum operational performance depending on system demand criteria.
References Cited (Backward Citations)
No citation records indexed.
USPTO Annuity & Maintenance Windows
Maintenance schedule is calculated for granted US utility patents.