Motor Maintenance Solutions

Prevent costly motor failures with AI-powered predictive maintenance designed for electric motors. Monitor bearing health, winding insulation, rotor condition, and electrical faults to reduce downtime by 80% and extend motor life by 50%.

80% Downtime Reduction
50% Longer Motor Life

TRUSTED AND SUPPORTED BY

Amazon Web Services logo
Bega Cheese logo
Textor Converting logo
Tassal logo
DLEA logo
Arnotts Group logo
General Mills logo
Amazon Web Services logo
Bega Cheese logo
Textor Converting logo
Tassal logo
DLEA logo
Arnotts Group logo
General Mills logo

Common Motor Failures We Detect

Our AI-powered system identifies and predicts the most costly motor failures before they cause production shutdowns.

Bearing Deterioration

Bearing failures account for 40% of motor breakdowns, causing vibration and heat.

  • Inner and outer race wear patterns
  • Ball and roller deterioration
  • Lubrication breakdown and contamination

Winding Insulation Failure

Insulation breakdown leads to short circuits and motor burnout.

  • Thermal degradation from overheating
  • Moisture and contamination damage
  • Electrical stress and voltage spikes

Rotor Bar Cracking

Rotor bar failures cause torque variations and electrical imbalances.

  • Thermal cycling stress and fatigue
  • Starting torque stress damage
  • Manufacturing defects and material flaws

Overheating Issues

Excessive heat accelerates all other failure modes and reduces motor life.

  • Blocked ventilation and cooling failures
  • Overloading and excessive current draw
  • Ambient temperature and environment factors

Misalignment Problems

Shaft misalignment causes premature bearing wear and vibration.

  • Angular and parallel misalignment
  • Coupling wear and deterioration
  • Foundation settling and movement

Electrical Imbalances

Voltage and current imbalances cause inefficiency and component stress.

  • Phase voltage and current variations
  • Power quality and harmonic distortion
  • Single-phasing and voltage drops

Advanced Motor Monitoring Technology

Our comprehensive motor monitoring system combines multiple technologies to provide complete visibility into motor health and performance.

Vibration Analysis

Advanced vibration monitoring detects bearing wear, imbalance, misalignment, and mechanical looseness with precision frequency analysis.

Motor Current Signature Analysis

MCSA technology analyzes electrical current patterns to detect rotor bar cracks, eccentricity, and electrical faults.

Thermal Monitoring

Temperature sensors detect overheating conditions, winding hot spots, and cooling system issues.

Power Quality Analysis

Monitor voltage, current, power factor, and harmonics to ensure optimal motor operating conditions and efficiency.

Sensor Technologies

Wireless vibration sensors
Current monitoring clamps
Temperature sensors

Monitoring Capabilities

  • Bearing health and lubrication condition
  • Rotor bar integrity and electrical balance
  • Winding insulation resistance monitoring
  • Energy efficiency and power consumption optimization

Industry Applications

Motor predictive maintenance delivers critical value across industries where electric motors are essential to operations.

Manufacturing

Critical production motors where failure causes immediate production loss.

80% reduction in motor failures

HVAC Systems

Building comfort systems requiring high reliability and energy efficiency.

20% energy cost reduction

Water Treatment

Pump motors critical for municipal and industrial water systems.

99.5%+ uptime achievement

Oil & Gas

Compressor and pump motors in harsh operating environments.

50% maintenance cost reduction

Motor Maintenance ROI

Calculate your potential savings from predictive maintenance on electric motors.

80%
Downtime Reduction

Prevent unexpected motor failures with early warning detection

50%
Extended Motor Life

Optimal operating conditions and maintenance timing

20%
Energy Savings

Efficiency optimization and performance monitoring

6-10
Months ROI

Fast payback through reduced replacement and energy costs

Cost Savings Example: Manufacturing Facility

Before Predictive Maintenance

  • Annual downtime cost:$800,000
  • Emergency motor replacements:$240,000
  • Energy inefficiency costs:$180,000
  • Total Annual Cost:$1,220,000

After Predictive Maintenance

  • Annual downtime cost:$160,000
  • Planned motor maintenance:$120,000
  • Optimized energy costs:$144,000
  • Total Annual Cost:$424,000
$796,000 Annual Savings
65% reduction in total motor-related costs

Technical Specifications

Comprehensive motor monitoring technology designed for industrial electric motor applications.

Sensor Specifications

  • Vibration Range: 0.1-10,000 Hz
  • Temperature Range: -20°C to +85°C
  • Wireless Range: Up to 40m line-of-sight
  • Battery Life: 5+ years typical operation
  • Protection Rating: IP69 industrial grade

Monitoring Points

  • Drive End Bearing: Vibration, temperature
  • Non-Drive End Bearing: Vibration, temperature
  • Motor Housing: Temperature, vibration
  • Electrical Connections: Current, voltage, power
  • Cooling System: Airflow, temperature
  • Coupling/Load: Alignment, torque

Alert Capabilities

  • Bearing Degradation: 6-12 weeks advance notice
  • Rotor Bar Cracks: 4-8 weeks early detection
  • Insulation Breakdown: Progressive degradation tracking
  • Overheating: 5°C rise above baseline
  • Efficiency Loss: 5% performance deviation
  • Critical Failures: Immediate shutdown alerts

Transform Your Motor Maintenance Program

Join manufacturers and facilities already preventing costly motor failures. Our motor specialists will assess your equipment and design a custom monitoring solution.

Frequently Asked Questions

We've got everything you need to get started on your predictive maintenance journey.

What are the most common motor failures that predictive maintenance can detect?

How does motor current signature analysis (MCSA) work?

Which industries benefit most from motor predictive maintenance?

Can you monitor motors without stopping production?

How much motor downtime reduction can I expect?

What about energy efficiency monitoring and optimization?