Event model
Define stop, micro-stop, degradation, intervention, repair, safe restart and restored production with consistent clocks.
Deployment evaluation · 15
Measure intervention frequency, failure categories, detection, diagnosis, safe restart and return to quality production.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Define stop, micro-stop, degradation, intervention, repair, safe restart and restored production with consistent clocks.
Preserve state, alarm, command, observation, configuration and causal context before reset removes evidence.
Design bounded local actions, authorised escalation, spare access, rollback and quality verification after restart.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
What is the mean operating time between human interventions?
Which few causes dominate lost time?
Can operators diagnose without trial-and-error bypass?
When does restart require recalibration or product quarantine?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Event log with detection, response, repair and recovery timestamps
Failure Pareto linked to corrective and preventive action
Safe-restart and post-restart quality verification
Scope boundary
Component MTBF, a short pilot or uptime without intervention definitions cannot establish production availability.
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Source dates and review status remain visible; external sources open in a new tab.
Demonstrates measurement of tool-centre position and orientation degradation to support condition assessment.
Highlights robot hazards and the importance of non-routine states such as setup, programming, testing and maintenance.