In lunar environments, loss of system stability often precedes and determines safety outcomes more decisively than discrete component failure, making early behavioral awareness a primary safety function. Lunar manufacturing systems operate under extreme environmental variability, limited repair capability, and delayed human oversight. Under these conditions, degradation rarely manifests as discrete component failures or limit violations. Instead, systems experience gradual, coupled drift across structural, thermal, and dynamic domains, often culminating in abrupt and irreversible transitions in operational stability. Conventional monitoring approaches based on thresholds, trends, and linear extrapolation fail to provide adequate early warning of such behavior. This work introduces predictive signatures as early indicators of impending instability in lunar manufacturing systems. Predictive signatures consist of persistent patterns of behavioral change that reflect erosion of system coherence or margin before classical failure criteria are reached. Unlike fault indicators, these signatures emerge from cross-domain interactions and manifest through changes in response behavior rather than absolute state. The framework establishes a basis for identifying nonlinear transitions driven by coupled drift mechanisms and classifies predictive signatures into structural, thermal, and dynamic categories. It further examines how communication delay and constrained intervention elevate the safety relevance of weak but repeatable signals in autonomous decision-making. The resulting implications extend to system design, verification, and operations, where observability, behavioral consistency, and pre-authorized response strategies become essential under delayed authority conditions. By shifting safety assurance from reactive detection to anticipatory awareness, predictive signatures preserve system stability and mission continuity in lunar manufacturing environments where recovery options are limited and instability often becomes irreversible before conventional failure is detected.
Ralph Figueroa (Tue,) studied this question.