FIELD: transport.
SUBSTANCE: invention relates to aircraft engine control hardware, particularly, to faultfinding. For identification used are means for determination of the set of normalised indicators that represent the operation of aircraft engine. Means are used to construct the abnormality vector describing the engine behaviour as the function of said set of normalised indicators. Means are used to select, in the case of abnormality detected by said abnormality vector, the subset of basic vectors with directions that belong to definite neighbourhood of direction of said abnormality vector. Said subset of basic vectors is selected from the set of basic vectors content-related with faults of said engine. Saud faults are defined using the criteria set of experts. Besides, means are used to identify faults content-related with said subset of basic vectors.
EFFECT: accelerated identification.
15 cl, 3 dwg
| Title | Year | Author | Number |
|---|---|---|---|
| STANDARDISATION OF DATA USED FOR AIRCRAFT ENGINE CONTROL | 2009 |
|
RU2522308C2 |
| FLAW DETECTION FOR AIRCRAFT ENGINE | 2009 |
|
RU2497173C2 |
| AIRCRAFT ONBOARD HARDWARE EXPERT-CONTROL SYSTEM | 2012 |
|
RU2517422C1 |
| METHOD FOR DIAGNOSING A COMPLEX OF ON-BOARD EQUIPMENT OF AIRCRAFT BASED ON MACHINE LEARNING AND A DEVICE FOR ITS IMPLEMENTATION | 2023 |
|
RU2816667C1 |
| METHOD AND SYSTEM FOR REMOTE IDENTIFICATION AND PREDICTION OF DEVELOPMENT OF EMERGING DEFECTS OF OBJECTS | 2018 |
|
RU2686257C1 |
| SYSTEM AND METHOD FOR DIAGNOSTICS OF INDUSTRIAL OBJECT BASED ON ANALYSIS OF ACOUSTIC SIGNALS | 2020 |
|
RU2749640C1 |
| SYSTEM OF CREW SUPPORT IN RISKY SITUATIONS | 1996 |
|
RU2128854C1 |
| METHOD FOR DIAGNOSING AIRCRAFT ON-BOARD EQUIPMENT COMPLEX BASED ON MACHINE LEARNING | 2023 |
|
RU2809719C1 |
| METHOD AND APPARATUS FOR DETECTING AND ELIMINATING MULTIPLE FAILURES OF GNSS SYSTEM SATELLITES | 2011 |
|
RU2559842C2 |
| PILOTAGE-AND-TRAINING COMPLEX | 2004 |
|
RU2263973C1 |
