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公开(公告)号:US20200285571A1
公开(公告)日:2020-09-10
申请号:US16804970
申请日:2020-02-28
Applicant: HONEYWELL INTERNATIONAL INC.
Inventor: Rajeev MOHAN , Ramkumar RAJENDRAN , Kirupakar JANAKIRAMAN
IPC: G06F11/36
Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for fault injection and ensuring failsafe FMS SaaS platforms. For instance, the method may include observing a behavior of a platform; building a hypothesis about a steady state behavior based on the observing the behavior of the platform; determining whether a request for fault injection has been received; in response to receiving the request for the fault injection, performing the fault injection; observing a response of the platform to the fault injection; determining whether the fault injection is at an end; and in response to determining that the fault injection is at the end, collect and analyze data of observed response(s).
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公开(公告)号:US20200226940A1
公开(公告)日:2020-07-16
申请号:US16245589
申请日:2019-01-11
Applicant: Honeywell International Inc.
Inventor: Narayanan SRINIVASAN , Rajeev MOHAN , Kirupakar JANAKIRAMAN , Nayyar Azam Khan RAO , Ramkumar RAJENDRAN
Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for providing one or more flight management system (FMS) services as a Software as a Service (SaaS) with context-aware intelligence for a plurality of FMS users. For example, a system may include a context analyzer system configured to determine based on one or more context analysis parameters, a prediction engine configured to determine prediction data based on the one or more contexts and/or one or more prediction parameters, a recommender engine configured to determine recommendations based on one or more recommendation requests and/or one or more prediction data, a background processing system configured to identify background operations to support an operation of a first FMS service and generate background support data for the first FMS service, and a message bus in communication with an API gateway, the context analyzer system, the prediction engine, the recommender engine, and the background processing system.
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