AI equipment monitoring for power generation

Protect Megawatt Output.Catch Drift Early.

ProArch Foresight helps plant teams detect equipment drift early by continuously comparing real-time operating data against engineering design curves.

With AI-powered anomaly detection and root-cause insights, teams can act before hidden issues become unplanned trips, derates, or costly outages.

 
 
AI Equipment Monitoring for Power Generation Plants
 
 

Measurable Business Outcomes

Operational Gains You Can Measure

$500K – $1M+

Saved per Forced Outage Avoided

$250K – $1M+

Annual Savings in Recovered Efficiency

$100K – $500+

Prevented Lost Revenue from Unplanned Trips

6-Figure

Maintenance Cost Avoidance Over Asset Lifecycle

Illustrative impact for ~1,000 MW combined‑cycle plants. Results vary by asset and operating profile.

The Risks ProArch Foresight Eliminates

BOP Equipment Rarely Fails Suddenly. It Drifts.

Balance-of-plant equipment rarely fails without warning. Pumps, valves, motors, and other critical assets often drift from design intent long before traditional monitoring detects a problem.

Pumps drift off their efficiency curves, increasing energy use and wear

Valves lose precision and responsiveness, impacting control stability

Motors degrade under changing load conditions, reducing reliability

 

ProArch Foresight for Power Generation

AI-Powered Equipment Monitoring Against Design Curves

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ProArch Foresight analyzes near real-time OT data and compares actual equipment behavior to expected performance based on manufacturer specifications, engineering design curves, and operating context.

The result:

  • Earlier intervention
  • Fewer forced outages
  • Recovered efficiency
  • More predictable megawatt output

ProArch Foresight Combines:

  • Near real-time OT sensor data
  • Manufacturer engineering specifications and performance curves
  • AI-driven drift and anomaly detection
  • Agentic AI-assisted root-cause analysis
  • Dynamic dashboards with prioritized insights and alerts
Equipment AI Hub analyzes

What Operators see vs. What’s Really Happening

How ProArch Foresight Reveals Hidden Risk Before It Becomes an Outage

WHAT OPERATORS SEE WHAT’S ACTUALLY HAPPENING WITH PROARCH FORESIGHT
Flow Rate: 1,850 GPM All signals drifting together for 45+ minutes AI detects multi‑signal drift vs. design curves
Head: 98% of Normal Pattern indicates low LP drum level issue

3–4% efficiency dropping

Root cause identified before limits are breached
Power Drawn: 97% of Baseline Unit trip or outage likely within 2–4 hours Operators get early warning + recommended action

Everything looks fine

Risk is invisible

Issues corrected before outages or revenue loss
 

Built for PLANT Operations & Asset Owners

One Platform. Outcomes That Matter Across the Plant and the Portfolio.

PLANT MANAGERS & OPERATORS

Operational stability, fewer outages, better control.

  • Minimize forced outages and high-impact derates
  • Recover efficiency lost to off-design operation
  • Eliminate small inefficiencies that quietly compound
  • Stabilize control behavior during load changes
Power generation equipment anomaly detection dashboard
 
Equipment performance savings dashboard for asset owners

ASSET OWNERS & PRIVATE EQUITY

More predictable cash flow, less risk, protected asset value.

  • Prevent lost EBITDA through predictable megawatt output
  • Protect exit valuation with predictable performance
  • Extend useful life of critical assets
  • Improve forecast confidence for investors
Equipment performance savings dashboard for asset owners

How ProArch Foresight works

From Raw OT Data to Actionable Equipment Insight

01

Connect OT Equipment Data

Bring in near real-time signals from BOP equipment that is most critical to your output, reliability, and efficiency.

Connect OT Equipment Data
02

Machine Learning & AI Monitors Equipment Against Design Curves

AI continuously evaluates equipment behavior against expected behavior based on engineering design intent.

Equipment monitoring chart
03

AI Assistant Turns Drift into Action

Get anomaly detection, root cause, and recommendations powered by agentic AI with an AI assistant to dig deeper on root cause for faster issue resolution.

AI assistant chat with pump performance insights, ProArch Foresight
Connect OT Equipment Data
Equipment monitoring chart
AI assistant chat with pump performance insights, ProArch Foresight

What ProArch Foresight covers

AI Monitors the Equipment That Matters Most

Start with one asset, one equipment class, or one facility, then scale across the plant or fleet with consistent analytics and governance.

Pumps

Pumps

Valves

Valves

Motors

Motors

Compressors

Compressors

Heat exchangers

Heat exchangers

Breakers

Breakers

Switchgear &
instrumentation

Switchgear & instrumentation

 
 

See How Early Drift Detection Protects Megawatts

Schedule a working session using your plant’s operating profile

Frequently Asked Questions

What is ProArch Foresight for Power Generation?

ProArch Foresight is an AI-powered platform that monitors critical equipment performance, identifies early signs of degradation, and helps teams act before issues impact operations or output.

How does ProArch Foresight detect issues in equipment?

It continuously analyzes operational data to identify deviations from expected performance and flags anomalies early before they turn into failures or sustained performance loss.

How is this different from how equipment is monitored today?

Most plants monitor outputs or rely on manual review and experience to detect issues. ProArch Foresight goes deeper. It analyzes how equipment is performing against expected conditions to surface issues that would otherwise go unnoticed.

What kind of insights does it provide?

ProArch Foresight surfaces anomalies, likely root causes, and recommended actions—along with visibility into trends, performance degradation, and potential operational impact.

How does this improve plant performance or reduce costs?

By identifying performance degradation early, teams can prevent efficiency losses and avoid costly outages, helping maintain expected output and reduce operational and revenue impact.