Hear Problems Before They Happen
Acoustic AI that detects equipment failures days before breakdown—reducing downtime and keeping workers safe.
From Reactive to Predictive Maintenance
Industrial facilities face a persistent challenge: how to detect equipment problems before they cause costly failures and downtime. Traditional maintenance strategies—time-based or reactive—miss the early warning signs that acoustic analysis can reveal. SteadyBeat’s AI-powered acoustic monitoring solution enables true predictive maintenance, detecting abnormal sounds that indicate developing issues weeks before failure, while simultaneously improving worker safety through noise reduction.
Challenges in Industrial Maintenance
Understanding the limitations of traditional maintenance approaches
Undetected Equipment Degradation
Traditional maintenance schedules rely on time-based intervals or reactive repairs after failures, missing early warning signs of equipment degradation that could be detected through acoustic analysis.
Impact
- Unexpected equipment failures
- Costly unplanned downtime
- Safety hazards for workers
Harsh Acoustic Environment
Industrial facilities generate high levels of ambient noise from multiple sources, making it difficult for workers to identify abnormal sounds that indicate equipment problems.
Impact
- Worker hearing damage and fatigue
- Reduced productivity
- Missed early failure indicators
High Maintenance Costs
Reactive maintenance and unplanned downtime result in significantly higher costs compared to proactive, condition-based maintenance strategies.
Impact
- Emergency repair premiums
- Production losses
- Shortened equipment lifespan
AI-Powered Acoustic Monitoring
SteadyBeat’s industrial solution combines advanced acoustic sensors, edge AI processing, and cloud analytics to provide comprehensive equipment health monitoring and predictive maintenance capabilities.
Advanced ANC
Real-time analysis and adaptive noise cancellation algorithms
Multi-Modal Fusion
Acoustic, visual, physiological, and environmental sensors
Edge AI Processing
On-chip inference with <10ms latency, privacy-preserving
How It Works
Key Benefits
Early Abnormality Detection
AI-powered acoustic monitoring continuously analyzes equipment sounds, detecting subtle changes that indicate bearing wear, misalignment, cavitation, or other developing issues—often weeks before failure.
Technical Achievement
Real-time spectral analysis with machine learning anomaly detection
Improved Worker Safety
Reducing ambient noise levels and providing early warning of equipment malfunctions creates a safer working environment, protecting workers from both acoustic hazards and mechanical failures.
Technical Achievement
Integrated noise monitoring and active noise control capabilities
Reduced Maintenance Costs
Transition from reactive to predictive maintenance reduces emergency repairs, extends equipment lifespan, and enables optimized maintenance scheduling during planned downtime.
Technical Achievement
Condition-based maintenance with predictive analytics
Operational Insights
Continuous acoustic monitoring provides valuable data on equipment performance, enabling process optimization and informed capital investment decisions.
Technical Achievement
Cloud-connected analytics with historical trending and reporting
Real-World Applications
See how our technology transforms maintenance in different industrial environments
Manufacturing Facilities
Situation
Production lines with rotating equipment (motors, pumps, compressors, conveyors) operate continuously, where unexpected failures cause costly production stoppages.
Solution
- Continuous acoustic analysis detects bearing wear, misalignment, and anomalies weeks before failure
- Enables scheduled maintenance during planned downtime instead of emergency repairs
- Real-time alerts provide actionable insights for maintenance teams
Outcome
Reduced unplanned downtime by 70%, extended equipment lifespan, and improved overall equipment effectiveness (OEE).
Chemical Processing Plants
Situation
Pumps, valves, and compressors in chemical plants operate in harsh environments where failures can have safety and environmental consequences.
Solution
- Edge AI-powered acoustic sensors monitor critical equipment 24/7
- Real-time detection of cavitation, valve leaks, and mechanical degradation
- Automated alerts sent to maintenance teams for immediate action
Outcome
Enhanced safety through early detection of potentially hazardous equipment conditions, reduced maintenance costs, and improved regulatory compliance.
Data Centers
Situation
Cooling systems, generators, and UPS equipment must operate reliably to prevent costly downtime and equipment damage.
Solution
- Acoustic monitoring provides early warning of fan failures and bearing issues
- Continuous surveillance of mission-critical infrastructure components
- Predictive maintenance scheduling reduces risk of catastrophic failures
Outcome
Improved uptime, reduced risk of catastrophic failures, and optimized maintenance scheduling.
Ready to Transform Your Maintenance Strategy?
Discover how SteadyBeat’s AI-powered acoustic monitoring can reduce downtime and maintenance costs.