AssetGuardian

GE VERNOVA AI

Omaha Peaking Plant (SCADA-04) Nominal Stream

Active Predictive Maintenance Matrix — Multi-Node Telemetry & AI Automated Remediation

Live Feed: ON

Priority Assets Requiring Immediate Attention 3 CRITICAL ASSETS

Interactive 3D procedural meshes rendered via WebGL on luminous light backgrounds with live vibration anomaly hotspots.

Auto-Remediation Playbooks Ready
Critical Spike
ID: GT-9HA-02-COMP

GE 9HA.02 Heavy Duty Gas Turbine

Compressor Stage B — Rotor & bladed disc resonance in row 4. Est. RUL: ~142 hrs

3D: Axial Compressor Rotor (Red Hotspot)
Harmonic Var
+4.82g
Bearing Temp
112.4°C
Frequency
300.2Hz
Harmonic Warning
ID: WND-HAL-X12-NAC

GE Haliade-X Offshore Wind

Nacelle Drive-Train — High frequency gear mesh harmonic resonance. Est. RUL: ~310 hrs

3D: Nacelle Housing & Rotor
Harmonic Var
+2.91g
Bearing Temp
88.1°C
Frequency
142.8Hz
Bearing Wear
ID: LM-6000-AERO-EXH

GE LM6000 Aeroderivative

Cylindrical Casing — Lubrication breakdown & spool ring micro-vibration. Est. RUL: ~480 hrs

3D: Cylindrical Casing & Spool Rings
Harmonic Var
+3.45g
Bearing Temp
104.9°C
Frequency
210.5Hz

Real-Time Frequency & Harmonic Variance Stream

Live IoT sensor telemetry streaming from GE Vernova industrial nodes.

Live 16Hz
GT-9HA Compressor Haliade-X Nacelle LM6000 Exhaust
Buffer: 60 Samples

AssetGuardian AI Copilot

Active Agent v4.8
Safety Interlock

Pattern Match Found

Harmonic variance on GT-9HA matches signature #GE-V98-BRG (Bearing cage micro-fracture probability: 94.2%).

Vibration Variance Threshold 3.5g
Bearing Temp Alarm Limit 105°C
Actionable AI Remediation Playbooks
Awaiting Lead Engineer Approval (JAI v4.8)

AssetGuardian AI

Industrial IoT Predictive Maintenance & Vibration Logs

Project Overview

"AssetGuardian AI" — Industrial IoT Predictive Maintenance & Vibration Logs

The Problem: Heavy machinery like gas turbine compressors and industrial generators experience micro-vibrations that precede component wear. Maintenance teams miss early degradation signals when parsing siloed CSV logs or manual inspection schedules.

The Users: Reliability Engineers, Plant Operations Directors, and Field Service Technicians.

The Solution: An AI-augmented monitoring matrix that streams mock/live IoT sensor telemetry (frequency, harmonic variance, bearing temperature), flags out-of-spec thresholds, and generates an automated AI remediation playbook. concept prototype,

What This Is
  • An interactive concept prototype demonstrating real-time IoT anomaly detection.
  • A multi-node telemetry dashboard simulating industrial turbine and generator feeds.
  • A demonstration of automated AI remediation playbooks and 3D visual health mapping.
What This Is Not
  • Not connected to live production data (runs on simulated mock telemetry).
  • Not a fully functional production system (some auxiliary links or edge cases are out of scope).
  • Not a substitute for official SCADA hardware safety interlock controls.

Complete Feature List

Live IoT Telemetry Stream & Ticker
Interactive WebGL 3D Asset Inspection
Real-Time Chart.js Frequency Tracking
AI Copilot Pattern Match Analysis
Actionable AI Remediation Playbooks
Facility Node Selector (SCADA Multi-Plant)
Anomaly Spike Injection Simulation
CSV Log Export & Threshold Sliders
This is only a concept prototype so not all links work, not all edge cases are addressed, it is not live data.