Pennsylvania Space Grant Consortium
otherState College, Pennsylvania, United States
Research output, citation impact, and the most-cited recent papers from Pennsylvania Space Grant Consortium (United States). Aggregated across the NobleBlocks index of 300M+ scholarly works.
Top-cited papers from Pennsylvania Space Grant Consortium
Prognostic Health Management (PHM) is the disciplined application of measurement, monitoring, and support strategies to protect structural, electrical, or data entities precluding the failure of measured systems in all phases of operation. Model-Based Systems Engineering (MBSE) can be used to formalize system structure, operations, behavior, and requirements using an Architecture Framework (AF), Process Framework (PF), modeling language, and ontology; whereas the AF, PF, and modeling language may be specific to the program or mission employing MBSE, ontologies may be developed specific to a given domain. The PHM domain considers failure modes, effects, and criticality, and ontological system analysis in this domain can inform system structure, operations, behavior, or requirements. A reference ontology for the PHM domain in spacecraft avionics is presented here including aspects of existing ontologies such as the Basic Formal Ontology (BFO), a Top-Level Ontology (TLO) newly recognized by the International Organization for Standardization (ISO), the Information Artifact Ontology (IAO), and the Space Object Ontology (SOO). A distinction is made between a full PHM domain ontology, which would include many mechanical or electrical systems with myriad purposes, and a PHM domain ontology specific to spacecraft avionics. Present ontological development originated using the parlance and format of BFO and IAO in Stanford University’s Protégé software but diverged to include International Union of Pure and Applied Chemistry (IUPAC) terminology and classifications. When interacting with this ontology, engineers seeking to characterize system-specific failure modes, effects, and criticality can query the ontology with their hardware or software entities to obtain failure information specific to the operation of their system in a given operational environment. While this domain ontology is robust, the authors do not claim it to be complete or validated for all spacecraft avionics. It should be considered version one of a useful PHM tool with continual updates occurring after peer review and feedback.
Indirect high energy cosmic and gamma ray experiments require cost effective detectors and a large coverage area. Water Cherenkov detectors with large photomultiplier tubes have been commonly used for these experiments. While the photomultiplier tubes have good dynamic range and could be manufactured to larger sizes, their main drawbacks are high voltage to operate and sensitivity to magnetic fields. Silicon photomultipliers are the solid state counterparts which are insensitive to magnetic fields and operate at lower voltage, but have smaller area. At a time when solid state silicon photomultiplier vendors are growing and photomultiplier tubes declining, it is of paramount importance to develop alternative cost-effective readout schemes for future experiments. We developed a prototype water Cherenkov detector with wavelength shifting fibers and silicon photomultiplier readout. We report on the performance of this prototype for cosmic ray muons. We used Geant4 simulations to extrapolate performance at larger sizes.