PREDICTIVE FAILURE ANALYSIS WORKFLOW

Created by ChecklistGuro (https://checklistguro.com)

[ ] Fetch Sensor Telemetry: Retrieve the latest vibration, temperature, and pressure readings from the IoT Sensor Data Model.
[ ] Fetch Machine Metadata: Retrieve operational thresholds and maintenance history for the specific asset being analyzed.
[ ] Calculate Deviation Score: Calculate the variance between current sensor readings and the predefined safety thresholds.
[ ] Compute Health Index: Execute a formula to derive a 0-100% health score based on aggregated degradation variables.
[ ] Aggregate Error Frequencies: Sum the total number of 'Warning' flags recorded in the last 24 hours from the Error Logs model.
[ ] Identify Trend Direction: Compare current aggregated values against historical averages to determine if the failure trend is accelerating.
[ ] Assign Urgent Inspection Task: Create a high-priority task for the Maintenance Engineer if the Health Index falls below 40%.
[ ] Create Failure Prediction Record: Create a new entry in the 'Predictions' data model containing the calculated risk score and predicted failure date.
[ ] Notify Plant Manager: Send an automated email alert to the Plant Manager containing the summary of the predicted failure.
[ ] Generate Parts Procurement Task: Create a task for the Logistics Team to check inventory for required replacement components.
[ ] Update Asset Status: Update the 'Current Status' field in the Asset Data Model to 'At Risk' or 'Under Inspection'.
[ ] Generate Weekly Risk Report: Generate a comprehensive report summarizing all predicted failures and maintenance costs for the week.
[ ] Critical Alert SMS: Send an SMS alert to the On-Call Technician if the deviation score exceeds the critical threshold.
[ ] Log Incident Report: Create an entry in the Incident Log model to document the triggering event of the prediction.
[ ] Update Maintenance Schedule: Update the next scheduled maintenance date in the Maintenance Plan model based on the new prediction.

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