Propulsion subsystems of future flight vehicles will run to higher thermal and aerodynamic loads for increased efficiencies. Increased loading and operating requirements cause serious mismatch between stages and components during off-design conditions with attendant compromise on stability margin.… More

Propulsion system components are being exposed to increased thermal and aerodynamic loads. Active stabilization of these components is considered one of the key technologies required to enhance the oeprability of gas turbine engines. Recently there have been numerous successful demonstration of… More

The firm proposes to develop an advanced software capability for the control and monitoring of turbine engines. This effort is aimed at the near-term deployment of ensuing technologies on a low-cost helicopter engine. The effort will be embedded in the T800 engine commercialization project led by… More

Control systems that stabilize the operation of a compressor around the surge line have been demonstrated in controlled laboratory conditions on fixed speed compressors. Jet engine manufacturers are considering this technology for improving engine performance and operability by reducing the… More

The firm proposes to conduct a research on turboshaft engine control and accessory technologies. The specific technology to be developed a simplified, unsteady-flow dynamic model of an engine gas generator which is suitable for the analysis and design of advanced turbine engine controls. Two… More

The firm proposes to design, develop, and test an ER (electrorheological) fluid shock dampening device in this program. The device is targeted for a near-term application to the Navy shipboard equipment specifically, shock isolators and gun recoil damping. The innovations of the proposed program… More

The firm proposes to investigate two innovative concepts for active vibration control (AVC). These concepts are aimed at reducing HCF vibrations and stresses. HCF vibrations must be minimized during engine operations, because they not only severely limit the operating life of fan and compressor … More

The firm proposes to conduct a program of research on real-time engine health monitoring (EHM) system for gas turbine engines. The proposed system is motivated by several factors: 1) effective monitoring improves engine performance and operability, 2) current engine monitoring field is fragmented… More

The firm proposes to conduct a program of research on real-time engine health monitoring (EHM) system for gas turbine engines. The proposed system is motivated by several factors: 1) effective monitoring improves engine performance and operability, 2) current engine monitoring field is fragmented… More

"SMI and ARL at Penn State will collaborate to develop a real-time, intelligent, hierarchical control system for fault detection, prediction, performance prediction, model validation and real time resource management and system reconfiguration. ThisAutonomous Monitoring and Control System (AMCS)… More

The firm proposes to conduct a program of research on the design and validation of prognostic models for flight control actuators. Specifically, the research will focus on developing models that can predict the fault-to-failure progression process andestimate the remaining useful life of flight… More

This project investigates and researches various steering control concepts based on state-of-the-art technologies that meet the stressing weight, volume, performance and cost requirements for advanced Anti Radiation Missile (ARM) systems.Scientific Monitoring, Inc. (SMI) proposes to conduct an… More

The firm proposes to develop and mature an innovative technology for system or vehicle health management. The technology will include: 1) a coherent strategy for managing the relationship between diagnostics and prognostics, 2) a stochastic approach to modeling and estimation by considering… More

Scientific Monitoring, Inc. (SMI) proposes to develop and mature an affordable, coherent software Validation and Verification (V&V) process and safety assurance methodology for flight-critical software. The proposed technology is affordable because it emphasize simulation-based acquisition. The… More

Scientific Monitoring, Inc. (SMI) proposes to develop and mature an advanced modeling and simulation technology for verifying and validating (V&V) system/vehicle health management (S/VHM) capability. The technology is intended to provide an effective, affordable, flexible demonstration and… More

Scientific Monitoring, Inc. (SMI) is conducting a research, under an Air Force Research Laboratory (AFRL) Small Business Innovation Research (SBIR) project, on affordable processes and techniques for the Validation and Verification (V&V) of adaptive flight software. In Phase I, we are investigating… More

The firm proposes to conduct research on integration of engine failure and trending data to support Reliability Centered Maintenance (RCM). The proposed research seeks to develop a knowledge-based software environment to host a range of analytical tools to facilitate RCM for the Air Force's engine… More

The firm proposes to continue the research on integrating engine failure and trending data to support Reliability Centered Maintenance (RCM). The research will develop a prototype of the knowledge-based software analytical environment called the AFKS-RCMS (Air Force Knowledge Services - Reliability… More

The team proposes to develop an onboard, real-time health management capability that monitors a flight control system (for spacecraft, fixed or rotary wing aircraft) in a highly dynamic environment and responds to anomalies with suggested recovery or mitigation actions. The goal of the proposed… More

Scientific Monitoring, Inc. (SMI) proposes a novel two-stage comprehensive strategy for fault diagnosis for the purpose of reducing the occurrence of No Fault Found (NFF) events in Propulsion Health Management (PHM) activities. The strategy includes modeling and algorithmic elements that account… More

Scientific Monitoring will develop a high temperature (~200C) FADEC architecture for reliable turbofan engine control. Initially, two competing architectures will be studied to address the need for control distribution and multiprocessing. A software design environment will be specified that will… More

The proposed effort will combine a low cost physical modeling approach with inductive, data-centered modeling in an aerosopace relevant context to demonstrate effective, low cost data mining. In particular Phase I will evaluate various hybrid architecture concepts on the basis of false positive and… More

Scientific Monitoring, Inc. will design a maintenance support toolset to provide timely and actionable maintenance actions. In phase I SMI will investigate the feasibility of the toolset for its ability to generate reliable maintenance actions.

SMI in partnership with Stanford University will perform research to develop and apply new methods to analyse and predict stability and performance of a distrubuted control for a gas turbine engine.

Scientific Monitoring will develop high temperature (~200C) integrated circuits for a distributed FADEC architecture for reliable turbofan engine control. The apoplication specific integrated cirucits will be developed for sensor and actuator interface and control. The circuits will include digital… More

Scientific Monitoring, Inc. (SMI), Stanford University (SU) and Pratt and Whitney (PW) propose to conduct research to develop, implement, apply and realistically demonstrate new methods to analyze and predict the stability and performance of a distributed gas turbine engine control (DEC). The… More

Scientific Monitoring, Inc. (SMI) is developing reliable, high temperature capable, full-authority, digital engine controls technology. Specifically, SMI is developing an innovative system on chip (SoC) capability that will accomplish two major objectives. First, for engines with modest control… More

Scientific Monitoring Inc. (SMI), in partnership with GE Aviation (GE), proposes to develop a set of maintenance support tools for automated analysis of reliability data. These tools can extract data from a military data warehouse (MDW), analyze the data, update models, flag failure trends, and… More

Scientific Monitoring, Inc. proposes to develop a robust propulsion control approach to facilitate control law design and simulation-based validation. The proposed approach integrates system identification and robust control design, specifically tailors it to handle large perturbations and model… More