Honeywell International Inc.

George Daniel Hadden

Sunil K Menon

Dinkar A Mylaraswamy

David Michael Kolbet

Darryl Busch

Randy R Magnuson

Timothy J Felke

Harold C Voges

Steve D Huseth

Dwayne Michael Benson

Andy M Peczalski

Raj Mohan Bharadwaj

David B Goldstein

Gary Scott Whittaker

Emmanuel Obiesie Nwadiogbu

Dane Francis Wilson

Russell D Braunling

John C Colclough

Emmanuel Obisie Nwadiogbu

Sunil Menon

Systems, methods and devices are provided that allow more efficient transfer and processing of sensor information in a hierarchical data system. The system provides for a plurality of component area managers (CAM), each of the CAMS being in operable communication with at least one of a plurality of transducers that monitors a phenomena of a component and in operable communication with a data bus. A CAM comprises a processor in operable communication with the at least one transducer of the plurality of transducers, wherein the first processor is configured to record data generated by the at least one transducer of the plurality of transducers, to reduce the recorded data, to place the reduced data on the data bus. The system also includes a transducer selection module controlled by the first processor by which the first processor selects one of the plurality of transducers to record and a rolling buffer in operable communication with the first processor and in operable communication with the at least one transducer by which to record the data generated by the at least one transducer of the plurality in a first-in-first-out manner.

Vehicle system monitoring and communications architecture

A health monitoring system for a vehicle system includes a plurality of managers and a decision support module. Each manager corresponds to a different sub-system of the vehicle system, and generates manager output pertaining to the sub-system based at least in part on an intermediate output. Each manager comprises a plurality of reasoners. Each reasoner corresponds to a different component of the sub-system, and comprises a plurality of modules and a reasoner fusion block. Each module obtains data regarding a different aspect of the component and generates a preliminary output based on the data. The reasoner fusion block is coupled to the plurality of modules, receives the preliminary output, and generates the intermediate output based on the preliminary output. The decision support module is coupled to the plurality of managers, receives the manager output therefrom, and provides a decision support output based on the manager output.

Vehicle health monitoring reasoner architecture for diagnostics and prognostics

A health monitoring system for a vehicle system includes an operational support system including a plurality of managers and a decision support module. Each manager corresponds to a different sub-system of the vehicle system, and comprises a plurality of reasoners and a fusion block. Each reasoner is configured to obtain data and provide preliminary output regarding a different component of the sub-system based on the data. The fusion block is coupled to the plurality of reasoners, and is configured to receive the preliminary output and generating manager output based on the preliminary output. The decision support module is coupled to the plurality of managers, and is configured to receive the manager output and provide a decision support output based on the manager output.

Vehicle health monitoring system architecture for diagnostics and prognostics disclosure

Methods and apparatus are provided for analyzing a complex system that includes a number of subsystems. Each subsystem comprises at least one sensor designed to generate sensor data. Sensor data from at least one of the sensors is processed to generate binary evidence of a sensed event, and complex evidence of a sensed event. The complex evidence has more sophisticated mathematical properties than the binary evidence. The complex evidence comprises one or more of: a condition indicator (CI), a health indicator (HI), and a prognostic indicator (PI). A system fault model (SFM) is provided that defines statistical relationships between binary evidence, complex evidence, and an underlying failure mode (FM) that is occurring in the complex system. The binary evidence and the complex evidence are processed to identify failure modes taking place within one or more of the subsystems. Based on the binary evidence and the complex evidence and the SFM, diagnostic conclusions can be generated regarding adverse events that are taking place within the complex system, and prognostic conclusions can be generated regarding adverse events that are predicted to take place within the complex system.

Methods systems and apparatus for analyzing complex systems via prognostic reasoning

A non-contact motion sensor comprising a radar detector that includes a first antenna, a second antenna that is orthogonal to the first antenna and a third antenna that is orthogonal to the first antenna and the second antenna. The non-contact motion sensor further includes a control that collects and analyzes signals that are received from the radar detector.

Three dimensional noncontact motion sensor

A method, system, and computer program product for predicting the functional availability of a complex system is provided. Parameters of the complex system are converted from a plurality of binary values to at least one prognostic vector. At least a portion of a binary input expression is converted into an equivalent fuzzy output expression, the fuzzy output expression operable on the at least one prognostic vector.

Prediction of functional availability of complex system

A recursive mapping structure for diagnostic models is provided. A parent diagnostic model includes a first input module, a first output module, a first monitor module coupled to the first input and first output modules, and a first propagation module coupled between the first input and first output modules. A child diagnostic model includes a second input module, a second output module, a second monitor module coupled to the second input and second output modules, and a second propagation module coupled between the second input and second output modules, wherein the second monitor module is coupled to the first monitor module.

Recursive structure for diagnostic model

A system and method are provided for supplying electromechanical actuator (EMA) health status information to a control system. A determination is made as to whether the EMA has experienced a fault. If the EMA has experienced a fault, a fault-based position limit and a fault-based rate limit of the EMA are determined, based on the fault. A design position limit and a design rate limit of the EMA are supplied. An updated position limit of the EMA is determined based on at least the design position limit and the fault-based position limit, and an updated rate limit of the EMA is supplied based on at least the design rate limit and the fault-based rate limit.

Electromechanical actuator and effector health management system and method

The present invention relates to vibration detection devices. In one embodiment a corner reflective array is provided. The corner reflective array includes at least one corner cube. Each corner cube includes three mutually perpendicular reflective surfaces that intersect in a corner.

Reflective corner cube array

A non-intrusive apparatus and method for measuring vibration of an object along three axes. A vibration measurement device is provided which has three orthogonal right triangular panels forming a pyramidal shape having three 90&deg; angled corners which meet at an apex, wherein each triangular panel has an outer mirrored surface. The device is attached to an object which is subjected to vibration, such that the apex of the device points in a direction away from the object. A beam of light is directed onto the apex of the device such that a portion of the light is reflected off of each mirrored surface, sending reflected light in three directions to three different light sensors. The magnitude of vibration of the object can then be determined in each of three orthogonal directions, along three axes, by measuring the difference in movements of position between the reflected light and a reference beam.

Inverse corner cube for non-intrusive three axis vibration measurement

A corrosion sensor and method for its use to detect and determine the, type, location, size and growth rate of corrosion of metals and the like in a corrosive environment. The corrosion sensor can distinguish between different types of corrosion such as uniform corrosion, pitting, crevice, and stress corrosion cracking. The sensor detects corrosion conditions of a corrodible metal article in a corrosive environment. It has a metal probe comprised of a metal which is substantially identical to that of the corrodible metal article and a transducer element attached to said probe, which is capable of projecting and receiving ultrasonic or radio frequency signals through the probe. The received signals indicate corrosion of the probe and hence the corrodible metal article.

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Plymouth, MN, United States of America

George Daniel Hadden