In-Time Aviation Safety Management System (IASMS)
Monitor Systems . Detect Faults . Mitigate Failures
Monitor Systems . Detect Faults . Mitigate Failures
ResilienX (a leading provider of in-time aviation safety management system (IASMS) solutions) has worked with NASA on these concepts for years and has developed a joint presentation with the NASA System Wide Safety group to educate the aviation community on ISSA and IASMS.
Maintaining the safety of the Global Air Services as it evolves will require integration of a wide range of safety systems and practices, some of which are already in place and many of which need to be developed. Maintaining system safety into the future will require rapid detection and timely mitigation of safety issues as they emerge and before they become hazards.
The IASMS integrates safety assurance, which is the foundation for In-time System-wide Safety Assurance (ISSA), with traditional risk management. The IASMS and its distributed architecture scales in relation to innovations in the Unmanned Aircraft System (UAS) and an increasingly complex AAM ecosystem comprised of an expanding mix of small UAS, air taxis, traditional operations, new supersonic aircraft, and space launch systems. Design of an IASMS builds on the In-Time System-wide Safety Assurance (ISSA) concept that mitigates risks before they can lead to an incident or accident
The envisioned transformation of the National Airspace System to integrate an In-time Aviation Safety Management System (IASMS) to assure safety in Advanced Air Mobility (AAM) brings unprecedented challenges to the design of human interfaces and management of safety information. The transformative changes in future aviation systems pose p
The envisioned transformation of the National Airspace System to integrate an In-time Aviation Safety Management System (IASMS) to assure safety in Advanced Air Mobility (AAM) brings unprecedented challenges to the design of human interfaces and management of safety information. The transformative changes in future aviation systems pose potential new critical safety risks with novel types of aircraft and other vehicles having different performance capabilities, flying in increasingly complex airspace, and using adaptive contingencies to manage normal and non-normal operations.
Safety in design and operational safety assurance are critical factors for how humans will interact with increasingly autonomous systems. The IASMS Concept of Operations builds from traditional commercial operator safety management and scales in complexity to AAM.
These changes compel development of new and emerging capabilities that enable innovative ways for humans to interact with data and manage information. Increasing complexity of AAM corresponds with use of predictive modeling, data analytics, machine learning, and artificial intelligence to effectively address known hazards and emergent ris
These changes compel development of new and emerging capabilities that enable innovative ways for humans to interact with data and manage information. Increasing complexity of AAM corresponds with use of predictive modeling, data analytics, machine learning, and artificial intelligence to effectively address known hazards and emergent risks. The roles of humans will dynamically evolve in increments with this technological and operational evolution. The interfaces for how humans will interact with increasingly complex and assured systems designed to operate autonomously and how information will need to be presented are important challenges to be resolved.
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