Fault diagnosis

A method for estimating the performance of and/or detecting faults in components of a multi-component system,

• the performance of each component in the system being defined by one or more performance parameters x, and
• the performance parameters x being related to measurement parameters z which can be expressed as a function h( ) of the performance parameters x and operating parameters w defining an operating condition of the system,
• the method comprising:
• optimising an objective function J(x,w) which gives a measure of the consistency between measured values of the measurement parameters z collected from the system and calculated values of the measurement parameters calculated using said function of the performance parameters and the operating parameters h(x,w),
• said optimisation being an Evolutionary Program based method comprising the steps of:
• (a) creating an initial population of strings, each string comprising a plurality of elements corresponding to the performance parameters x and operating parameters w, values being assigned to the string elements representing estimated values of said parameters;
• (b) evaluating the objective function for each of the strings in the population and, on the basis of this evaluation, assigning a fitness value to each string;
• and
• (c) creating a next generation population of strings using a selection operator and at least one of a cross-over operator and a mutation operator, the selection operator employing the assigned fitness values to determine the strings that survive to the next generation;
• wherein at the outset of the method an assumed maximum number of fault affected components is set and, based on this, a series of fault classes defined corresponding to possible outcomes in terms of faulty components;
• each of the strings of the initially created population being assigned to one of the fault classes, the values assigned to the elements of strings in a fault class representing performance parameters being constrained to only indicate fault affected values for performance parameters defining the performance of the respective fault affected component or components of the class;
• and
• during creation of subsequent generation populations, the cross-over operator, if used, being constrained to operate on pairs of strings from the same fault class, and the mutation operator, if used, being constrained so that it does not operate on string elements representing performance parameters other than those performance parameters associated with the fault affected components within a class.

An evolution Program based search or optimisation method for solving a problem, comprising the steps of:

• (a) creating an initial population of strings, each string representing a possible solution to the problem;
• (b) evaluating the problem for each of the strings in the population and, on the basis of this evaluation, assigning a fitness value to each string;
• and
• (c) creating a next generation population of strings using a selection operator and at least one of a cross-over operator and a mutation operator, the selection operator employing the assigned fitness values to determine the strings that survive to the next generation;
• wherein said strings are categorised at the outset of the method, in accordance with a pre-selected characteristic of said strings, to form a plurality of sub-populations comprising strings of the having the same value of said pre-selected characteristic;
• and
• during creation of subsequent generation populations, the cross-over operator, if used, being constrained to operate on pairs of strings from the same sub-population, and the mutation operator, if used, being constrained to ensure that the strings of each sub-population retain their initial value of said pre-selected characteristic.

A diagnostic system for estimating the performance of and/or detecting faults in components of a multi-component system,

• the performance of each component in the multi-component system being defined by one or more performance parameters x, and
• the performance parameters x being related to measurement parameters z which can be expressed as a function h( ) of the performance parameters x and operating parameters w defining an operating condition of the multi-component system,
• the diagnostic system comprising:
• means for inputting and storing measured values of the measurement parameters z collected from the system,
• means for storing a maximum number Mbias of fault affected measurements,
• means for calculating calculated values of the measurement parameters using said function of the performance parameters and the operating parameters h(x,w), and
• an optimiser for optimising an objective function J(x,w) that gives a measure of the consistency between said measured values of the measurement parameters z and said calculated values of the measurement parameters,
• said optimiser comprising means for calculating a plurality of possible values for the objective function, each possible value being calculated by determining the objective function with a different Mbias of the measurement parameters eliminated, and means for assigning the value of the minimum one of said plurality of calculated possible values as the value of the objective function.

A diagnostic system for estimating the performance of and/or detecting faults in components of a multi-component system,

• the performance of each component in the multi-component system being defined by one or more performance parameters x, and
• the performance parameters x being related to measurement parameters z which can be expressed as a function h( ) of the performance parameters x and operating parameters w defining an operating condition of the multi-component system,
• the diagnostic system comprising:
• means for inputting and storing measured values of the measurement parameters z collected from the system,
• means for calculating calculated values of the measurement parameters using said function of the performance parameters and the operating parameters h(x,w),
• means for setting an assumed maximum number of fault affected components is set,
• means for defining a series of fault classes corresponding to possible outcomes in terms of faulty components;
• and
• an optimiser for optimising an objective function J(x,w) that gives a measure of the consistency between said measured values of the measurement parameters z and said calculated values of the measurement parameters,
• said optimiser comprising Evolutionary Program means including:
• (a) means for creating an initial population of strings, each string comprising a plurality of elements corresponding to the performance parameters x and operating parameters w, values being assigned to the string elements representing estimated values of said parameters and means for assigning each of said strings to a related fault class;
• (b) means for evaluating the objective function for each of the strings in the population and, on the basis of this evaluation, assigning a fitness value to each string;
• and
• (c) means for creating a next generation population of strings using a selection operator and at least one of a cross-over operator and a mutation operator, the selection operator employing the assigned fitness values to determine the strings that survive to the next generation;
• said means for creating the next generation comprising constraints for constraining the cross-over operator, if used, to operate on pairs of strings from the same fault class, and constraining the mutation operator, if used, so that it does not operate on string elements representing performance parameters other than those performance parameters associated with the fault affected components within a class.