Three-pass editorial review: Pass 1 (Tactical - sentence-level): - Improved topic-stress positioning for emphasis - Strengthened verb choice and topic strings - Broke long, complex sentences into clearer shorter ones - Fixed parallel structure inconsistencies - Tightened hedging and unnecessary words Pass 2 (Operational - paragraph/section): - Strengthened transitions between subsections - Improved logical flow within sections - Enhanced parallel structure in key arguments - Clarified connections between ideas Pass 3 (Strategic - document-level): - Strengthened Heilmeier question alignment in section summaries - Improved parallel structure in 'three innovations' and 'three factors' - Made strategic points more prominent and explicit - Enhanced forward references between sections Overall: Improved clarity, emphasis, and coherence throughout while maintaining technical accuracy and Dane's analytical voice.
101 lines
6.9 KiB
TeX
101 lines
6.9 KiB
TeX
\section{Metrics for Success}
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\textbf{Heilmeier Question: How do we measure success?}
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Section 3 established the technical approach. It answered what is new: compositional verification bridging discrete synthesis with continuous control. It answered why the approach will succeed: existing procedural structure, bounded complexity, and industrial validation. This section addresses the next Heilmeier question: how to measure success.
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The answer: Technology Readiness Level advancement from fundamental concepts (TRL 2--3) to validated prototype demonstration (TRL 5).
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My work begins at TRL 2--3 and aims to reach TRL 5, where system components operate successfully in a relevant laboratory environment. TRL advancement provides the most appropriate success metric because it explicitly measures the gap between academic proof-of-concept and practical deployment. This section explains why TRLs are the right metric, then defines specific criteria for each level from TRL 3 through TRL 5.
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Technology Readiness Levels provide the ideal success metric. They explicitly measure the gap between academic proof-of-concept and practical deployment. This is precisely what my work bridges.
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Academic metrics—papers published or theorems proved—fail to capture practical feasibility. Empirical metrics—simulation accuracy or computational speed—fail to demonstrate theoretical rigor. TRLs measure both.
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Advancing from TRL 3 to TRL 5 requires maintaining theoretical rigor while progressively demonstrating practical feasibility. The system moves from individual components to integrated hardware testing. Two requirements constrain this progression. First: formal verification must remain valid throughout. Second: the proofs must compose as the system scales.
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The nuclear industry requires extremely high assurance before deploying new
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control technologies. Demonstrating theoretical correctness alone proves
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insufficient for adoption; conversely, showing empirical performance without
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formal guarantees fails to meet regulatory requirements. TRLs capture this dual
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requirement naturally. Each level represents both increased practical maturity
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and sustained theoretical validity, while TRL assessment forces explicit
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identification of remaining barriers to deployment. The nuclear industry already
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uses TRLs for technology assessment, making this metric directly relevant to
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potential adopters. Reaching TRL 5 provides a clear answer to industry questions
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about feasibility and maturity that academic publications alone cannot.
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Moving from current state to target requires achieving three intermediate
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levels, each representing a distinct validation milestone:
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\paragraph{TRL 3 \textit{Critical Function and Proof of Concept}}
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For this research, TRL 3 means demonstrating that each component of the
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methodology works in isolation. Startup procedures must be translated into
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temporal logic specifications that pass realizability analysis. A discrete
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automaton must be synthesized with interpretable structure. At least one
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continuous controller must be designed with reachability analysis proving
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transition requirements are satisfied. Independent review must confirm that
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specifications match intended procedural behavior. This proves the fundamental
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approach on a simplified startup sequence.
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\paragraph{TRL 4 \textit{Laboratory Testing of Integrated Components}}
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For this research, TRL 4 means demonstrating a complete integrated hybrid
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controller in simulation. All startup procedures must be formalized with a
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synthesized automaton covering all operational modes. Continuous controllers
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must exist for all discrete modes. Verification must be complete for all mode
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transitions using reachability analysis, barrier certificates, and
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assume-guarantee contracts. The integrated controller must execute complete
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startup sequences in software simulation with zero safety violations across
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multiple consecutive runs. This proves that formal correctness guarantees can be
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maintained throughout system integration.
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\paragraph{TRL 5 \textit{Laboratory Testing in Relevant Environment}}
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For this research, TRL 5 means demonstrating the verified controller on
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industrial control hardware through hardware-in-the-loop testing. The discrete
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automaton must be implemented on the Emerson Ovation control system and verified
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to match synthesized specifications exactly. Continuous controllers must execute
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at required rates. The ARCADE interface must establish stable real-time
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communication between the Emerson Ovation hardware and SmAHTR simulation.
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Complete autonomous startup sequences must execute via hardware-in-the-loop
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across the full operational envelope. The controller must handle off-nominal
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scenarios to validate that expulsory modes function correctly. For example,
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simulated sensor failures must trigger appropriate fault detection and mode
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transitions, and loss-of-cooling scenarios must activate SCRAM procedures as
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specified. Graded responses to minor disturbances are outside this work's scope.
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Formal verification results must remain valid, with discrete behavior matching
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specifications and continuous trajectories remaining within verified bounds.
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This proves that the methodology produces verified controllers implementable on
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industrial hardware.
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Progress will be assessed quarterly through collection of specific data
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comparing actual results against TRL advancement criteria. Specification
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development status indicates progress toward TRL 3. Synthesis results and
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verification coverage indicate progress toward TRL 4. Simulation performance
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metrics and hardware integration milestones indicate progress toward TRL 5. The
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research plan will be revised only when new data invalidates fundamental
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assumptions. This research succeeds by achieving TRL 5: demonstrating a
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complete autonomous hybrid controller with formal correctness guarantees
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operating on industrial control hardware through hardware-in-the-loop testing in
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a relevant laboratory environment. This establishes both theoretical validity
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and practical feasibility, proving the methodology produces verified
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controllers implementable with current technology.
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This section answered the Heilmeier question: How do we measure success?
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\textbf{Answer:} Technology Readiness Level advancement from 2--3 to 5 demonstrates both theoretical correctness and practical feasibility through progressively integrated validation.
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TRL 3 proves component-level correctness. Each part works independently.
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TRL 4 demonstrates system-level integration in simulation. The parts compose correctly.
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TRL 5 validates hardware implementation in a relevant environment. The complete system works on real control hardware.
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Achieving TRL 5 proves the methodology produces verified controllers implementable with current technology.
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Success depends on several critical assumptions. If these assumptions prove false, research could stall at lower readiness levels despite sound methodology.
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Section 5 addresses the complementary question: What could prevent success?
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