ZeqPredictiveMaintenance

Predictive maintenance via HulyaPulse vibration spectral analysis. Bearing fault detection, remaining useful life estimation, maintenance scheduling optimization.

Endpoint	POST /api/mfg/predictive-maintenance
Auth	api-key
Rate limit	15/min
Category	manufacturing

Parameters

Name	Type	Required	Description
vibrationData	object	Yes	Accelerometer time series.
assetType	string	No	'motor', 'pump', 'compressor', 'conveyor', 'turbine'.
operatingHours	number	No	Total operating hours on asset.

Returns

{ healthIndex, faultType, rul_hours, maintenanceWindow, severity, zeqond }

Example

curl -sS -X POST \
  -H "Authorization: Bearer zsm_..." \
  -H "Content-Type: application/json" \
  -d '{
  "vibrationData": {},
  "assetType": "<assetType>",
  "operatingHours": 0
}' \
  "https://zeqsdk.com/api/mfg/predictive-maintenance"

This protocol is a named building block — one of the operations you compose inside a state contract. Call it directly with the request above, or invoke it from a contract that fires on your machine's clock. Browse the whole library at GET /api/protocols; fetch this one at GET /api/protocols/zeq-predictive-maint.