CONDITION MONITORING FOR DATA CENTERS

Catch Electrical & Cooling Degradation Before Alarms Trigger

Detect electrical and mechanical degradation earlier with continuous thermal and vibration condition monitoring across critical data center infrastructure. 

Critical System Failures Rarely Develop on Schedule

Calendar-based thermography and routine preventive maintenance cycles provide momentary windows into system health. But electrical and cooling degradation develops gradually — often between scheduled inspections. That visibility gap is where the highest-risk failures begin.

Inspection Gap Timeline – V3

Close the Infrastructure Visibility Gap
with MultiSensor AI

Tracking the health of electrical and cooling infrastructure in real time allows data center operators to identify emerging risks earlier and act before small issues snowball into failures that compromise SLAs.

noun-identification-8068164-FFFFFF
Stop Failures Before They Start

24/7 condition monitoring surfaces early signs of electrical and cooling degradation between inspections and well before alarms trigger, giving teams time to intervene before problems escalate.

noun-setting-adjust-8030737-FFFFFF
Protect Critical Redundancy

Infrastructure issues often develop silently inside energized systems. Continuous visibility helps operators preserve redundancy margins and maintain the resilience required for uninterrupted uptime.

noun-self-confident-5123622-FFFFFF
Operate With Total Confidence

Persistent insight into system health gives engineering teams the clarity to act quickly and decisively, keeping critical infrastructure performing as expected.

MSAI Connect: Where Signals Become Actionable Intelligence

MSAI Connect transforms distributed sensor data into actionable, engineer-validated electrical and cooling degradation intelligence. 

Always-On Multi-Sensor Condition Monitoring: Catch electrical and mechanical degradation earlier than traditional OEM or BMS thresholds with continuous thermography and vibration monitoring across critical infrastructure.

Multi-Sensor Signal Corroboration: Avoid false positives caused by single-sensor blind spots. Thermal, visual, vibration, and environmental signals are corroborated at the asset level, covering electrical and mechanical risks in one platform.

Human Reliability Validation Layer: Engineer-validated anomalies ensure higher signal credibility, reduced alert fatigue, and minimal unnecessary dispatch.

01IR Data Center Cooling Pump
Case Study

How One Data Center Turned Fire Risk Into 11.4x ROI

A data center fire caused $3.42 million in damage and contributed to roughly $1.1 million a year in avoidable downtime, since calendar-based inspections weren't catching developing faults between rounds. After deploying MSAI Connect across 14 thermal cameras monitoring rack-level heat, power loads, and cooling infrastructure, the site has recorded zero thermal runaway events, avoided nearly $550,000 in downtime costs, and cut insurance premiums by 15%. Combined, the improvements delivered an estimated 11.4x ROI in the first year.

img-25

Continuous Condition Monitoring Across Mission-Critical Assets

Transformers
  • Hot spots
  • Cable termination degradation
Power Distribution Units (PDUs)
  • Overheating
  • Cable termination degradation
  • Phase imbalance heat signatures
Busway System
  • Overheating
  • Cable termination degradation
  • Phase imbalance heat signatures
Diesel-powered Backup Generators
  • Alternator housing heat anomalies
  • Bearing housing thermal rise
  • Exhaust temperature asymmetry
Cooling Tower
  • Motor heat
  • Condenser coil efficiency variance
Chillers
  • Compressor overheating
  • Pump casing thermal anomalies
  • Condenser coil efficiency variance
Automatic Transfer Switch (ATS)
  • Thermal Anomalies
Remote Power Panels (RPPs)
  • Overheating
  • Cable termination degradation
  • Phase imbalance heat signatures
Server aisles
  • Liquid manifold thermal drift
  • Cable tray moisture-related thermal drift

A Unified Source of Infrastructure Health

MSAI Connect is a detection and intelligence layer that complements your existing stack without altering control logic, protection schemes, or redundancy design. 

  • Enhance maintenance workflows
  • Synchronize alerts across electrical and cooling systems
  • Get a complete picture of infrastructure health

Data Centers Stack – V1

Avoid Failures That Cascade
into Million Dollar Outages

By detecting degradation early, MSAI helps reduce the probability that minor infrastructure drift becomes a seven-figure outage.

$550K–$5M+

Electrical Failure

$420K–$2.8M+

Cooling Outage

$990K–$3.9M+

Generator Failure Mid-Event

$1.7M–$10M+

Fire Escalation