Find the cause before the next stop.
Plants record millions of measurements a day that are never questioned again. HGE tests a large field of possible causes against your own data and returns a ranked, reproducible answer, in days rather than weeks.
Request a baseline studyThe problem
Root cause is usually established after the fact, by hand, by the people who already know the plant best. It is slow, it depends on who is on shift, and it rarely finds a cause nobody suspected. The information needed is almost always already in the historian. It has just never been asked the right questions.
- Answers from data you already log
- No new sensors
- A result the maintenance meeting can act on
How it works
A field of candidate causes
The engine proposes many falsifiable candidate causes for an event or a degradation, derived from structure in the data rather than from prior assumptions.
Against your own measurements
Each candidate is tested against your actual data. A cause that does not hold, falls. What stands is quantified.
A reproducible, ranked result
You receive a ranked table, each cause traceable back to the raw signal. The same question gives the same answer, every time.
The data layer runs on Northflow's open data-fusion infrastructure, published and documented at northflow.no.
Evidence
Output format
| Rank | Candidate cause | Test against data | Score | Retained |
|---|---|---|---|---|
| 1 | Feed moisture on line B exceeds spec on night shift | moisture vs. yield loss | 0.91 | yes |
| 2 | Roaster bed temperature couples to intake air | lag correlation vs. throughput | 0.74 | yes |
| 3 | Acid plant conversion dips after clean-in-place | event-aligned comparison | 0.63 | yes |
| 4 | Conveyor vibration precedes trips by ~40 min | precursor test on trip log | 0.57 | yes |
| 5 | Reagent dosing drift vs. calibration date | drift vs. maintenance record | 0.19 | no |
Table 1. HGE output format, illustrative. Rows show the structure of a result, not findings from a client engagement.
Not a dashboard needle. A ranked answer.
The result is a ranked table of causes, each one traceable to the data behind it, not a single number on a screen.
Start with a baseline study.
A fixed-fee, fixed-duration engagement with a defined deliverable. Bring one concrete problem in your operations or your data, and leave with a result you can act on.
Request a baseline study →