ESDMD #1003: Integrated System Fault/Anomaly Diagnosis, Decision Support, and Response¶
Onboard fault management (detection, diagnosis, prognostics, decision support, automated safing and recovery) for long-lived elements with dormant periods and communication delays (bin 3, rating 18 of 57). Today ISS crews rely on ground support, and integrations are "ad-hoc", "one-time implementations specific to a particular system" (Tech gaps spreadsheet, ESDMD #1003).
Quotations below are from row ESDMD #1003 of the tech gaps spreadsheet. ADD Rev C's Appendix D prints the same table for this gap, and it matches the row field for field (ADD Rev C, p. 249).
Description¶
"Fault management provides detection, diagnosis, decision, response, and adjustment to off-nominal conditions to maintain mission objectives. Future missions with long element lifetimes, periods of dormancy, and potential communication delay may require improved software and hardware capability to enable system fault/anomaly detection, diagnosis, prognostics, decision support, automated safing/recovery, and response. Existing strategies and algorithms currently detect faults/anomalies through physics/statistical models, empirical knowledge, and sensor data diagnostics through expected coverage levels, false-positive/false-negative targets, and telemetry, tracking, and command (TTC) allocations per fault class."
Impacts and benefits: "Without gap closure, missions will have to rely on ground (on a limited basis due to communication delays in deep space) or crew onboard to detect and diagnose faults and anomalies correctly and in a timely manner."
Current state of the art¶
"ISS crew largely relies on ground support for off-nominal diagnosis and decision-making. Ad-hoc integrations are complex, costly, and difficult-to-maintain one-time implementations specific to a particular system."
Performance target¶
- Moon/Mars: "Safe, reliable, autonomous control of systems; autonomous detection and diagnosis of off-nominal conditions and events; automated control and safing sequences."
- Mars: "In addition, increased autonomy, reliability, and communication delays compared to the lunar performance target."
Child gaps¶
- 1003-01: Fault detection and diagnosis
- 1003-02: Streamline sources of information for autonomous or semi-autonomous anomaly resolution
- 1003-03: Automated control and safing sequences from system monitoring
Traceability¶
- Use cases and functions: UC-H-201 L; UC-H-202 L; UC-G-501 M -- FN-D-201 M
- Definition tasks: Mars: MD-12 Maximum Allowable Crewed Communications Disruption; Priorities for Crew vs. Robotic Tasks Strategy
Segments and sub-architectures¶
- Segments: Foundational Exploration, Sustained Lunar Evolution, Humans to Mars
- Sub-architectures: Autonomous Systems & Robotics, Data Systems and Management
Priority¶
Priority bin 3, overall prioritization rating 18 of 57. The rating is "the gap's location in the prioritized list of gaps", so 1 is the highest priority, and bins group gaps of similar priority, bin 1 highest. Criticality, urgency, breadth and depth set the order; cost is not considered (ADD Rev C, pp. 78, 199; method on the gaps index).
Moon Base relevance¶
Not established by the sources so far. The Users Guide does not name #1003 among its near-term Moon Base challenges (Technology and knowledge challenges).
Related pages¶
- #1002 Autonomous Monitoring and #1004 Trustworthy Autonomy for Planning and Decision-making: the other autonomy gaps
- #0304 Habitat Environmental Monitors: shares use cases UC-H-201 L and UC-H-202 L
- #0202 High-Performance Onboard Computing
Sources¶
Tech gaps spreadsheet, ESDMD #1003 · ADD Rev C, pp. 78, 199, 249