Boots – shoes – and leggings
Patent
1994-02-01
1996-04-23
Voeltz, Emanuel T.
Boots, shoes, and leggings
395904, 395912, G01D 114, G05B 2302
Patent
active
055110045
DESCRIPTION:
BRIEF SUMMARY
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention relates to a diagnostic method for an evolutionary process.
2. Discussion of the Background
The cost of maintenance operations carried on complex industrial equipment is often considered by the users to be too high. This is why the manufacturers of such equipment rely increasingly on methods capable of spacing out or even eliminating some scheduled maintenance operations without increasing the frequency of unpredictable breakdowns.
For this, a better knowledge of a certain number of operational processes is necessary. The evolution of the equipment must be ascertained; the state of advance of possible damage must be known.
Systems developed hitherto tend to be deterministic; they are based on the following reasoning: present.
This approach is not in general satisfactory, because there are uncertainties linked with the physical measurements which make it possible to define the current state of the equipment; in practice, it almost always arises that one or other of the symptoms predicted are not present, whereas the anomaly is actually present.
SUMMARY OF THE INVENTION
The subject of the present invention is a diagnostic method for an evolutionary process, such as an industrial manufacturing process, or the operation of equipment, which makes it possible, in real time, to optimize the maintenance operations, to recognize anomalous situations and to determine their causes as reliably as possible, to remedy these anomalies as quickly as possible, and to predict as quickly and reliably as possible possible degradations in characteristics of the equipment used which can lead to future breakdowns, as well as to anticipate the evolution of an operation for given environmental and control data.
The diagnostic method according to the invention comprises the following steps: measuring physical quantities relating to the process, determining the current state from these quantities, determining, from these same quantities, a reference state, comparing, quantity by quantity, these two states, these quantities being weighted as a function of their importance for the evolution of the process.
BRIEF DESCRIPTION OF THE DRAWINGS
The present invention will be better understood on reading the detailed description of one embodiment, taken by way of a non-limiting example and illustrated by the attached drawings, in which: of the likelihood coefficients for determining the membership of a parameter to a family of parameters; method of the invention may belong; with respect to nominal states, which table can be used by the method of the invention; present invention.
DESCRIPTION OF PREFERRED EMBODIMENTS
The invention is described hereinbelow with reference to a real-time diagnostic method for equipment in operation, such as a seawater desalination plant, but it is clear that it may be applied to any evolutionary process, for example equipment, a machine, or a set of machines in operation, whatever the nature of these machines (mechanical and/or electrical and/or chemical and/or electronic), their mode of operation (continuous or intermittent), their use (manufacture of products, production of energy, conversion, etc.) and their degree of complexity. Obviously, the invention is of particular interest for control and monitoring of equipment including numerous elements whose wear and whose operating conditions can give rise to breakdowns which are difficult to predict with known methods and/or in which the causes of the breakdowns are difficult to detect or to predict with known methods.
The method of the invention is termed a diagnostic method. This term concerns not only the diagnosis, but it also concerns the monitoring of a process, determining the best conditions (or the optimal conditions) for running of this process, for example with a view to optimizing maintenance operations, detecting tell-tale signs of potential breakdowns, predicting with high precision the moment when a breakdown risks occurs, and minimizing the risks of occurrence of
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Dubost Laurent
Heude Jean-Noel
"Thomson-CSF"
Kemper Melanie
Voeltz Emanuel T.
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