Locomotive Diagnostics → Associate SE

Closing the gap between operational signals and decisions teams can act on.

Customer Reality

In waste, beverage, and vocational fleets the driver is still the main signal. When a truck goes down, teams spend time verifying what happened and rebuilding the picture across systems. The data is there, the hard part is turning it into a decision before the window closes.

Operational Decision Framework

1. Detect the Real Problem A reported fault is an indicator, not a conclusion. Separate what the system is actually showing from what people assume.

2. Validate With Evidence Confirm the cause before recommending action. Only act when the data supports it.

3. Evaluate the Appropriate Level of Intervention Use the smallest fix that restores reliable operation.

4. Quantify Operational Impact Look at downtime, repeat risk, and resource use. Stable operation over time is the measure.

5. Communicate Present State and Future Risk Tell the stakeholder what was done, why it worked, what is still open, and what to watch.

In a customer conversation I would run the same sequence: confirm the reported condition, validate it with evidence, right-size the next step, and leave a clear picture of what is fixed and what still needs watching.

Full framework →

Evidence

Fleet Operations Insight Report

5+ interviews with operators in waste, beverage, and vocational fleets. Looks at the gap between data and decision.

Full report →

CDL A experience + Locomotive Diagnostics + Wabtec EOA

~4 years on air systems, mechanical, electrical, undercarriage, and predictive data on live locomotives. 1+ year prior CDL-A experience in regulated fleets with ELDs and in-cab alerts.

Connected Operations Lab

Personal model of a connected-ops loop: basic telemetry, alert aggregation, and operational state.

Source → · Demo →