A report presents a slightly different perspective of the subject matter of "Fusing Symbolic and Numerical Diagnostic Computations" (NPO-42512), which appears elsewhere in this issue of NASA Tech Briefs. Briefly, the subject matter is the X-2000 Anomaly Detection Language, which is a developmental computing language for fusing two diagnostic computer programs — one implementing a numerical analysis method, the other implementing a symbolic analysis method — into a unified event-based decision analysis software system for realtime detection of events. In the case of the cited companion NASA Tech Briefs article, the contemplated events that one seeks to detect would be primarily failures or other changes that could adversely affect the safety or success of a spacecraft mission. In the case of the instant report, the events to be detected could also include natural phenomena that could be of scientific interest. Hence, the use of X-2000 Anomaly Detection Language could contribute to a capability for automated, coordinated use of multiple sensors and sensor-output-data-processing hardware and software to effect opportunistic collection and analysis of scientific data.
This work was done by Mark James of Caltech for NASA's Jet Propulsion Laboratory. For further information, access the Technical Support Package (TSP) free online at www.techbriefs.com/tsp under the Information Sciences category.
In accordance with Public Law 96-517, the contractor has elected to retain title to this invention. Inquiries concerning rights for its commercial use should be addressed to:
Innovative Technology Assets Management
JPL
Mail Stop 202-233
4800 Oak Grove Drive
Pasadena, CA 91109-8099
(818) 354-2240
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Refer to NPO-42513, volume and number of this NASA Tech Briefs issue, and the page number.
This Brief includes a Technical Support Package (TSP).
Automated Detection of Events of Scientific Interest
(reference NPO-42513) is currently available for download from the TSP library.
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Overview
The document titled "Automated Detection of Events of Scientific Interest" (NPO-42513) from NASA's Jet Propulsion Laboratory outlines a significant advancement in the field of scientific data analysis. It introduces the X-2000 Anomaly Detection Language, designed to enhance the integration and coordination of multiple data sources and tools for opportunistic science data collection and analysis.
The primary goal of this software is to overcome limitations in current practices by enabling real-time analysis of complex systems. It aims to combine numeric analysis tools, such as BEAM, with symbolic processing tools, like SHINE, into a unified system. This integration allows for a depth of analysis and a degree of confidence that were previously unattainable. The software is capable of fusing sensor data, software results, and commands in real-time, which helps to abstract system physics and identify information invariants (constants). This capability makes the system highly sensitive to changes and degradation, allowing for precise isolation of issues in both time and space.
A notable feature of this software is its ability to fuse arbitrary symbolic and numeric components into a cohesive event-based decision analysis system. This novel approach provides advanced capabilities for event detection, making it applicable across a wide range of scientific applications, both manned and unmanned. The algorithms are domain-independent, meaning they can be utilized in various contexts beyond their initial design.
The software is versatile in terms of platform compatibility, running on systems such as SUN, HP, Intel, Apple MACs, and flight processors. It can be distributed in either source code or binary form, requiring a LISP compiler for operation, with several options available commercially or as shareware.
The document emphasizes that this capability is unique, as it allows for the integration of a broader range of analysis tools compared to existing commercial solutions, which are often limited in scope. The potential applications of this technology extend beyond aerospace, offering valuable insights for various scientific and commercial endeavors.
For further inquiries or assistance, the document provides contact information for the Innovative Technology Assets Management at JPL, ensuring that interested parties can access additional resources related to this innovative technology.
