Project / Independent research software
MCIFT
An experimental math-first software project exploring transparent multichannel condition monitoring and early-warning methods.
Explore MCIFT ↗- Type
- Independent research software
- Role
- Creator, designer and developer
- Focus
- Python · Deterministic methods · Multichannel signals
- State
- Experimental alpha software distributed as a public Python package, with two published bearing benchmark runs.
What it is
A working system, not a concept slide.
An experimental math-first software project exploring transparent multichannel condition monitoring and early-warning methods.
Why it exists
The problem
Operational systems produce multiple weak signals that are difficult to interpret together using transparent, repeatable rules.
Approach
Martin’s contribution
MCIFT explores deterministic relationships across multiple channels and turns them into inspectable scores, persistence rules and early-warning decisions.
Technical interest
What required judgment
A versioned Python implementation, reproducible benchmark artifacts, explicit decision definitions and documented limitations keep the work open to inspection.