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MULTIDIMENSIONAL REMAINING USEFUL LIFE ESTIMATION

IP.com Disclosure Number: IPCOM000248346D
Publication Date: 2016-Nov-17
Document File: 5 page(s) / 241K

Publishing Venue

The IP.com Prior Art Database

Abstract

A technique to estimate multidimensional remaining useful life (RUL) of equipments undergoing monitoring is disclosed. The technique allows simultaneous estimation of different remaining usage indexes, for example, remaining useful life in terms of hours, cycles, and maintenance actions, among others, which are dependent on each other, and consequently referred as multidimensional remaining useful life. An example of such simultaneous estimation of different remaining usage indexes includes estimation of a joint probability distribution. Further, the technique includes a method for validation of multidimensional RUL estimation, which is based on an extension of a conventional method employing Bayesian filtering for direct estimation of RUL. An embodiment of the invention includes two sets of validation method for evaluation of the estimation methods for multidimensional remaining useful life of the equipment. One set of validation method includes a combination of usage and cycles. Simulation of the equipment, for example, an electronic equipment, is required, for which both usage, for example, operating hours and on-off cycles yields degradation. The purpose of this validation is to estimate remaining usage and remaining cycles. Another set of validation method includes a combination of usage and maintenance. The equipment is simulated, for example, that for engine of an aircraft, for which performance is degraded by a combination of revertible factor, such as, oil and dust, and non-revertible factors, such as, damage.

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MULTIDIMENSIONAL REMAINING USEFUL LIFE ESTIMATION

BACKGROUND

The present invention relates generally to remaining useful life estimation, and more particularly to a technique for simulating and evaluating high temperature corrosion of alloy based components of equipment.

Generally, failure prognosis provides a single output that includes estimation of remaining useful life of equipments undergoing monitoring. Several conventional techniques are known in the art that are used for failure prognosis of equipments undergoing monitoring. For example, a conventional technique uses multidimensional data to obtain estimate of a uni-dimensional remaining useful life (RUL) of the equipment.

Another conventional technique includes combining multiple uni-dimensional RUL estimates to obtain a single uni-dimensional RUL estimate.

However, the above mentioned conventional techniques do not enable estimation of multidimensional remaining useful life (RUL) of the equipments.

Therefore, it would be desirable to have a technique to estimate multidimensional remaining useful life (RUL) of the equipments.

DETAILED DESCRIPTION

A technique to estimate multidimensional remaining useful life (RUL) of equipments, such as gas turbines, undergoing monitoring is disclosed. The technique allows simultaneous estimation of different remaining usage indexes, for example, remaining useful life in terms of hours, cycles, and maintenance actions, among others, which are dependent on each other, and consequently referred as multidimensional remaining useful life. An example of such simultaneous estimation of different remaining usage indexes includes estimation of a joint probability distribution. The joint probability distribution is useful in a number of practical situations and may be used to better plan maintenance and operation.

Two examples are described to illustrate the technique disclosed herein. In the first example, the equipment, such as, an electronic equipment may be stressed due to usage, for example, hours of operation, and cycling, for example, turning the equipment off than turning the equipment on again. Usage and cycling degrade the equipment in different ways, and cycling may be required for a number of reasons due to equipment operation, for example, avionics equipment are cycled every time an aircraft is turned off and turned on again. Therefore, the problem tackled is to simultaneously estimate, in terms of a joint probability distribution, remaining usage and also remaining cycles. Such type of result provides improved solution for deciding on equipment maintenance.

The second example includes equipment which degrades due to a combination of two sets of factors. The effects of one of the factor sets is reverted through light maintenance, however, degradation due to the other set requires heavy maintenance to be reverted. The example can be a case for aircraft engines, which have performance degradation due to accumulation of contaminants, such as, oil an...