Verification Boundaries in Vehicle Safety: Capability Is Not Enough
Verification boundaries define when system capability is proven, limited, degraded, or unsafe. Capability alone is not enough for complex vehicle systems.
Tag: Requirements Traceability
Jeep Wrangler Recall: Parked Vehicle Fire Risk
The Jeep Wrangler recall shows why parked vehicles must remain safe across off-state electrical, thermal, connector, and packaging conditions.
Honda Subframe Recall: Salt Belt Safety Warning
The Honda subframe recall shows why corrosion protection becomes a safety system when coatings preserve rear suspension mounting points in Salt Belt exposure.
The Ford Ball Joint Recall: A Safety Warning
The Ford ball joint recall is not only a component issue. It is a systems-engineering lesson in attachment verification, repair governance, and vehicle safety.
Jeep Cherokee Recall: The Hidden Risk Behind PTU Failure
The Harley-Davidson recall shows how a pressure-path failure can create crankcase pressure buildup, oil ejection, and injury risk during routine maintenance.
Understanding and Managing Engineering Complexity
A systems engineering framework for understanding and managing complexity through requirements, verification, optimization, simulation, and real automotive examples.
Why Great Engineering Concepts Should Be Demonstrable
Engineering concepts become easier to understand, validate, and communicate when they can be demonstrated through physical or virtual representations.
AI Systems Need Boundaries to Become Engineering Systems
The Harley-Davidson recall shows how a pressure-path failure can create crankcase pressure buildup, oil ejection, and injury risk during routine maintenance.
Harley-Davidson Recall: Pressure-Path Failure & Injury Risk
The Harley-Davidson recall shows how a pressure-path failure can create crankcase pressure buildup, oil ejection, and injury risk during routine maintenance.
Software-Defined System: Tesla Dual Recall
Tesla’s dual recall pattern shows how modern vehicles can fail as both physical machines and software-defined systems, exposing two verification challenges.