Dynamic multi-stage air data probe prognostics health monitoring management
A system for monitoring a vehicle-borne probe includes a first edge device in communication with the probe and configured to sense data related to a characteristic of a heating element of the probe, a coordinator in communication with the first edge device and configured to receive a first data output from the first edge device and to incorporate the first data output into a data package, a cloud infrastructure in communication with the coordinator via a data gateway and configured to analyze the data package to estimate a remaining useful life and predict a failure of the probe, and a ground station in communication with the cloud infrastructure and configured to refine remaining useful life estimation and failure prediction techniques of the system.
1 . A vehicle-borne probe monitoring system, the vehicle-borne probe monitoring system comprising:
a probe with a heating element and an expected lifetime; and
a system for monitoring the probe, the system comprising:
a first edge device in communication with the probe and comprising a processor unit with a hosted prognostic health monitoring module that is configured to perform prognostic health monitoring analysis on data with data analytics algorithms and/or monitoring algorithms, the first edge device is configured to receive sensed data related to a characteristic of a heating element of the probe from a sensor of the probe through a first communication interface and perform prognostic health monitoring analysis on the sensed data with the processor unit to produce a first data output;
a coordinator in communication with the first edge device and configured to receive the first data output from the first edge device through a second communication interface and to incorporate the first data output into a data package capable of being shared via a data gateway;
a cloud infrastructure in communication with the coordinator via the data gateway and configured to analyze the data package using an implemented cloud-hosted prognostic health monitoring data analytics application to estimate a remaining useful life and predict a failure of the probe to allow timely replacement of the probe to be scheduled based on the remaining useful life of the probe; and
a ground station in communication with the cloud infrastructure and configured to refine remaining useful life estimation and failure prediction techniques of the system by accessing data stored in the cloud infrastructure to perform additional analysis using advanced prognostic health monitoring algorithms.
2 . The system of claim 1 , wherein the vehicle is an aircraft and wherein the probe is one of a pitot probe, a total air temperature probe, and an angle-of-attack probe.
3 . The system of claim 2 , wherein the coordinator is further configured to either receive a second data output from the first edge device, or to generate the second data output.
4 . The system of claim 3 , wherein the coordinator is further configured to incorporate the second data output into the data package.
5 . The system of claim 4 and further comprising: a second edge device in communication with a separate probe of the aircraft, wherein the coordinator is further configured to receive a third data output from the second edge device and incorporate the third data output into the data package.
6 . The system of claim 5 , wherein the cloud infrastructure is further configured to analyze at least one of trend data and supplemental flight data to estimate the remaining useful life and predict the failure of the probe.
7 . The system of claim 6 , wherein the supplemental flight data comprises at least one of weather, flight path, and service history of the aircraft.
8 . The system of claim 5 , wherein the cloud infrastructure is further configured to implement a data analytics application to analyze the data package.
9 . The system of claim 8 , wherein the data analytics application includes machine learning.
10 . The system of claim 1 , wherein at least one of the cloud infrastructure and the ground station is configured to generate a notification of the remaining useful life estimation and the failure of the probe.
11 . A method for operating a cloud infrastructure in a system for monitoring a vehicle-borne probe, the method comprising:
receiving, by a first edge device in communication with the probe, sensed data related to a characteristic of a heating element of the probe that is indicative of a remaining expected lifetime of the probe;
analyzing the sensed data with a first application comprising data analytics algorithms of a hosted prognostic health monitoring module of the first edge device, to generate a first data output;
receiving, by a coordinator in communication with the first edge device, the first data output, and incorporating the first data output into a data package;
receiving, by a cloud infrastructure in communication with a coordinator, the data package;
analyzing, by an implemented cloud-hosted prognostic health monitoring data analytics application of the cloud infrastructure, the data package to estimate a remaining useful life and a failure of the probe; and
transmitting, by the cloud infrastructure, updates to the coordinator; and
scheduling, based on the estimated remaining useful life, timely replacement of the probe.
12 . The method of claim 11 , and further comprising:
analyzing, by a second application of the first edge device, the first data output to generate a second data output;
receiving, by the coordinator, the second data output; and
incorporating, by the coordinator, the second data output in the data package.
13 . The method of claim 12 , wherein the first application is a core application, and wherein the second application is a dynamic application.
14 . The method of claim 13 and further comprising:
monitoring, by the core application, the sensed data; and
analyzing, by the core application, the sensed data to generate the first data output.
15 . The method of claim 14 and further comprising:
monitoring, by the dynamic application, the first data output; and
analyzing, by the dynamic application, the first data output if a trigger event occurs; and
generating, by the dynamic application, the second data output.
16 . The method of claim 15 , wherein the step of analyzing the data package comprises:
implementing, by the cloud infrastructure, a data analytics application.
17 . The method of claim 16 and further comprising: refining, by the coordinator, at least one of the core application and the dynamic application.
18 . The method of claim 17 , wherein the updates transmitted to the coordinator include an updated trigger event.
19 . The method of claim 18 and further comprising: transmitting, by the cloud infrastructure, data to a ground station.
20 . The method of claim 19 and further comprising: generating, by at least one of the cloud infrastructure and ground station, a notification of an estimation of the remaining useful life of the probe and a prediction of the failure of the probe.