Patent classifications
G01K13/024
Overheat detection systems for aircraft
An overheat detection system for an aircraft, the system comprising a first bleed monitoring computer, BMC1, configured to identify leakages in a pneumatic system, the BMC1 including a first optical controller, a second bleed monitoring computer, BMC2, the BMC2 including a second optical controller, an optical fiber link connecting the first optical controller of the BMC1 and the second optical controller of the BMC2 for communication between the BMC1 and the BCM2 and between the first optical controller and the second optical controller, wherein the first and the second optical controllers are configured to detect overheat of the optical fiber link based on a wavelength shift of a modulated optical signal transmitted through the optical fiber link, and transmit signals to the first BMC1 and the second BMC2 based at least on the detected overheat.
Overheat detection systems for aircraft
An overheat detection system for an aircraft, the system comprising a first bleed monitoring computer, BMC1, configured to identify leakages in a pneumatic system, the BMC1 including a first optical controller, a second bleed monitoring computer, BMC2, the BMC2 including a second optical controller, an optical fiber link connecting the first optical controller of the BMC1 and the second optical controller of the BMC2 for communication between the BMC1 and the BCM2 and between the first optical controller and the second optical controller, wherein the first and the second optical controllers are configured to detect overheat of the optical fiber link based on a wavelength shift of a modulated optical signal transmitted through the optical fiber link, and transmit signals to the first BMC1 and the second BMC2 based at least on the detected overheat.
Pipe heating device and substrate processing apparatus
There is provided a pipe heating device, including; a sensor installed in a gas pipe; a heating part having a heat generation portion arranged so as to cover the gas pipe except for a region of the gas pipe where the sensor is installed; and a heat conducting member attached between an outer peripheral surface of the gas pipe and the sensor and formed of a material having a higher thermal conductivity than the gas pipe.
Verifiable bubbler
A bubbler device and method of its operation are disclosed. The bubbler device includes a bubbler tube that provides bubbles to a molten material in a furnace; a protective layer disposed on the bubbler tube; and a wire that is electrically coupled to the protective layer. The wire extends through the bore, and the protective layer and the wire partially form an electrical circuit for measuring integrity of the bubbler device based on at least one of conductivity or resistance in the electrical circuit. Sometimes, an inner protective material may be disposed on an inside surface of the tube and coupled to the protective layer, and the wire can be coupled to the inner protective material or multiple wires may be used. The use of dissimilar materials in these components may be used to form a thermocouple junction to measure the temperature of the molten material in a furnace.
Verifiable bubbler
A bubbler device and method of its operation are disclosed. The bubbler device includes a bubbler tube that provides bubbles to a molten material in a furnace; a protective layer disposed on the bubbler tube; and a wire that is electrically coupled to the protective layer. The wire extends through the bore, and the protective layer and the wire partially form an electrical circuit for measuring integrity of the bubbler device based on at least one of conductivity or resistance in the electrical circuit. Sometimes, an inner protective material may be disposed on an inside surface of the tube and coupled to the protective layer, and the wire can be coupled to the inner protective material or multiple wires may be used. The use of dissimilar materials in these components may be used to form a thermocouple junction to measure the temperature of the molten material in a furnace.
PRESSURE MEASUREMENT SYSTEM AND METHOD FOR OPERATING SAME
A measurement system for an aircraft gas turbine engine includes a probe and a heated-gas source in fluid communication with the pressure probe. The probe includes a probe body defining an internal cavity of the probe. The probe further includes a plurality of sensor inlet ports extending through the probe body and configured to receive a sensed fluid flow. The probe further includes a plurality of probe conduits. Each probe conduit of the plurality of probe conduits is coupled to a respective sensor inlet port of the plurality of sensor inlet ports and extending from the respective sensor inlet port to an exterior of the probe body. The heated-gas source is configured to supply a heated gas flow to one or both of: the plurality of sensor inlet ports via the plurality of probe conduits and an interior of the probe body outside of the plurality of probe conduits.
PRESSURE MEASUREMENT SYSTEM AND METHOD FOR OPERATING SAME
A measurement system for an aircraft gas turbine engine includes a probe and a heated-gas source in fluid communication with the pressure probe. The probe includes a probe body defining an internal cavity of the probe. The probe further includes a plurality of sensor inlet ports extending through the probe body and configured to receive a sensed fluid flow. The probe further includes a plurality of probe conduits. Each probe conduit of the plurality of probe conduits is coupled to a respective sensor inlet port of the plurality of sensor inlet ports and extending from the respective sensor inlet port to an exterior of the probe body. The heated-gas source is configured to supply a heated gas flow to one or both of: the plurality of sensor inlet ports via the plurality of probe conduits and an interior of the probe body outside of the plurality of probe conduits.
PREDICTING INTERNAL CORROSION IN GAS FLOW LINES USING MACHINE LEARNING
In an example method, a system obtains first data indicating a plurality of properties of a plurality of gas flow lines. The properties include, for each of the gas flow lines (i) data representing a flow rate of a gas through that gas flow line, (ii) data representing a pressure of the gas in that gas flow line, and (iii) data representing an additive included in the gas in that gas flow line, such as a substance for inhibiting corrosion. For each of the gas flow lines, the system uses a computerized neural network to determine a risk of corrosion associated with that gas flow line based on the properties of that gas flow line, determines whether the metric for that gas flow line is greater than a threshold level, and if so, generates a notification for presentation to a user.
PREDICTING INTERNAL CORROSION IN GAS FLOW LINES USING MACHINE LEARNING
In an example method, a system obtains first data indicating a plurality of properties of a plurality of gas flow lines. The properties include, for each of the gas flow lines (i) data representing a flow rate of a gas through that gas flow line, (ii) data representing a pressure of the gas in that gas flow line, and (iii) data representing an additive included in the gas in that gas flow line, such as a substance for inhibiting corrosion. For each of the gas flow lines, the system uses a computerized neural network to determine a risk of corrosion associated with that gas flow line based on the properties of that gas flow line, determines whether the metric for that gas flow line is greater than a threshold level, and if so, generates a notification for presentation to a user.
Method for determining the loading of a soot filter
The invention relates to a method for determining a loading of a soot filter with soot particles from an exhaust gas mass flow of an internal combustion engine in a motor vehicle, a control device for an internal combustion engine having a soot filter, and a computer program product for carrying out the method. In the first step 100 of the method a characteristic curve for the relationship between the exhaust gas mass flow, exhaust gas temperature, ambient pressure, and pressure drop across the soot filter without loading is determined; in the second step 200 a second exhaust gas mass flow and a second pressure drop that occurs during loading of the soot filter are determined; in the third step 300, from the characteristic curve the first pressure drop is determined for which the first and second exhaust gas mass flows have the same value; in the fourth step 400 an estimated value for the loading of the soot filter is computed via a real-time parameter estimation, preferably by use of the gradient method, based on the previously determined parameters. The method allows a reliable determination of the instantaneous loading of a particulate filter, regardless of the type of measuring signals used in each case for characterizing the loading behavior of the soot filter.