The Swingbed software applications provide for the control, command, fault detection, fault recovery, and telemetry monitoring aspects of the Amine Swingbed experiment. These software components are the Swingbed Loader Computer Software Configuration Item (CSCI),...

Distributed systems have become an integral part of safety-critical computing applications, necessitating system designs that incorporate complex fault-tolerant resource management functions to provide globally coordinated operations with ultra-reliability. As a result, robust...

Electrical interruptions, or “nuisance trips,” occur when a detector installed behind the wall trips an outlet's electrical circuit when it senses something that could be an arc-fault — a potentially dangerous spark in the electric line. The problem with today's arc-fault detectors is that they...

The Soil Moisture Active-Passive (SMAP) Project Spacecraft Flight Software controls all aspects of command and data handling (CDH) in the SMAP spacecraft. Required capabilities include uplink and command, telemetry and downlink, vehicle attitude control, science instrument control,...

Model-based diagnosis deals with the problem of diagnosing faults in systems using a model of the system for guidance. This problem is complicated by the presence of hybrid dynamics in the system (continuous evolution of the system interspersed with discrete events like commands to...

NASA’s Ames Research Center has developed an interactive diagnostic modeling evaluator (i-DME) tool to aid in modeling for noise and lag in the data and debugging of system models when fault detection, isolation, and recovery results are incorrect. i-DME is designed to dramatically speed up the modeling...

The Outlier Detection Via Estimating Clusters (ODVEC) software provides an efficient method for real-time or offline analysis of multivariate sensor data for use in anomaly detection, fault detection, and system health monitoring. ODVEC uses models automatically derived from archived system data to identify...

A fault recovery method for multiphase power converters enables delivery of reduced output power of as much as 66% of normal power in the event of a shorted power switch component. The need for redundant power converters in conventional multi-phase space power systems is reduced, if not eliminated....

This software provides a toolbox of MATLAB functions for detecting precursor wiring faults, such as chafing, in shielded impedance-controlled cable using measurements from off-the-shelf time domain reflectometry or vector network analyzer hardware. It advances the state-of-the-art in...

Some vehicles use an internal measurement unit (IMU) system to determine the speed, acceleration, orientation, position, and/or direction of movement of the vehicle. Vehicles used for high-availability or life-critical systems may employ a fault-tolerant IMU design. Typically, such vehicles use three or more IMUs to...

A Fault Detection, Isolation and Recovery (FDIR) system needs some internal concept of how the monitored system operates. This “operating concept” needs mathematical logic to represent the cause and effect relationship between constituent components of the system,...

The Integrated Modular Avionics (IMA) architecture being developed for space applications requires that sensor data be autonomously sampled and transmitted to the system network. This transmission needs to occur on a predetermined, fixed...

A Sensor Data Qualification (SDQ) function has been developed that allows the onboard flight computers on NASA’s launch vehicles to determine the validity of sensor data to ensure that critical safety and operational decisions are not based on faulty sensor...

Online detection techniques to monitor the health of rotating engine components are becoming increasingly attractive to aircraft engine manufacturers in order to increase safety of operation and lower maintenance costs. Health monitoring remains a challenge...

Health management (HM) in any engineering systems requires adequate understanding about the system’s functioning; a sufficient amount of monitored data; the capability to extract, analyze, and collate information; and the capability to combine understanding and information for HM-related estimation and decision-making....