Bearing Failure

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Objectives

  • Locate any anomalies while lacking information about tested system
  • Prove data received is sufficient for malfunction detection

Challenge

  • Client provided only 194 MB of data
  • Training data from only 12 engines
  • Real-time analysis

Results

  • Negligible adjustments to algorithm required
  • Achieved 91% detection accuracy
  • Precisely identified the 0.612% anomalous data

Background

Engine misfires carry heavy ramifications on vehicle health. When a cylinder fails to provide power to the engine, raw fuel might reach the catalytic converter. If not detected or treated in time, misfires cause severe cumulative damage to the vehicle, costing thousands of dollars in repairs per vehicle. Identifying misfires early-on helps avoid serious damage, prolong vehicle lifetime, and reduce repair expenses.

Results

Engine misfires carry heavy ramifications on vehicle health.When a cylinder fails to provide power to the engine, raw fuel might reach the catalytic converter. If not detected or treated in time, misfires cause severe cumulative damage to the vehicle, costing thousands of dollars in repairs per vehicle. Identifying misfires early-on helps avoid serious damage, prolong vehicle lifetime, and reduce repair expenses.

PREVIEWS

CASE STUDY

Gear Tooth Fracture

Acerta’s platform predicted gearbox failure during warranty period, by automatically identifying gear tooth fractures which weren’t detected during end of line testing.

CASE STUDY

Engine Misfires

Acerta’s platform accurately identified the specific conditions which led to previously undetected engine misfires and alerted the client of each occurrence.

CASE STUDY

Air Leak

Acerta’s platform automatically identified an air leak in the exhaust system of a vehicle during a road test. The provided insight reduced the root cause analysis from 2 weeks to 60 minutes.

CASE STUDY

Bearing Failure

Acerta’s platform provided Remaining Useful Life prediction for bearings, which allowed for robust and reliable predictive maintenance.