Wire up an analysis pipeline that spans time-series signals · spectra · anomalies · compliance. Every solution is clear at a glance — what it solves, how it works, what it produces; what you receive is a graph you can still edit freely after opening it — a starting point, not a black box.
Early bearing and gearbox faults are judged by a veteran's ear, and that expertise disappears with staff turnover; by the time the noise is audible, the damage is usually well advanced.
The judgement logic is hard-coded into a script or a single instrument, so every new standard or product means rebuilding it — and the basis for the verdict still can't be explained.
A low A-weighted level doesn't mean it “sounds pleasant.” Fullness, sharpness and roughness used to rely on jury panels — expensive and inconsistent.
When the speed keeps changing, a fixed spectrum can't reveal the drifting whine; electromagnetic orders, mesh orders and inverter sidebands overlap and are even harder to separate.
The judgement of “good vs bad sound” is tied to a few experts: the criteria can't be articulated, and they're lost with staff turnover.
Current harmonics, pipe leaks, heart-sound screening, birdsong recognition — buying a dedicated instrument for each is costly and fragmented, with no unified foundation.
A validated graph needs to go live, tens of thousands of historical recordings can't be clicked through by hand, and the line needs compute-as-you-capture, low-latency results.
Open it and see every step; tweak a parameter, add a branch or swap a node at will, never locked into a fixed flow.
Thresholds, weightings and formulas all live inside the nodes, so the basis for PASS / FAIL can be explained to customers and auditors alike.
A veteran's workflow is packaged into a template for the whole team to reuse, AutoML distils the judgement into a function, and expertise survives staff turnover.
Tell us your industry and the acoustic / vibration / time-series signal problem you need to solve, and together we'll turn it into a runnable, reproducible Tinia workflow.
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