faults

What’s New
Case Studies and Stories
  • Condition Monitoring
  • Continuous Improvement
  • Defect Elimination
  • Precision and Proactive Skills

How a 3D Geometric Survey Diagnosed Faults in a Grounded Tugboat

We received a call regarding a tugboat that had run aground. Our survey included measurements of the hull mating flanges, Z-Drive cones, gearbox mounting flanges, bell housings, stems, and starboard lower gearbox housing for parallelism…

  • Tony Planamento
  • Advanced Mechanical Enterprises/AME
Articles
  • Condition Monitoring

Electrical Frequencies Calculation and AC Motor Faults Patterns. Part 2

In the Part 2 the practical example will be analyzed.

Let’s look the background and calculate the most common frequencies produced by motor that potentially will be required for further analysis.

  • Pawel Lecinski
  • CMRP
Five Minute Facts
  • Condition Monitoring

Demo of Motion Maps and Frequency Filtering

Motion amplification allows you to see things a normal camera can't show. These amplifications show you all frequencies but also allow you to isolate individual frequencies, and visualize faults. The program is user friendly, color coded, and gives you vibration data in an easy to export Mp4 format.

Articles
  • Condition Monitoring

Electrical Frequencies Calculation and AC Motor Faults Patterns. Part 1

The fault diagnosis of induction motors, being probably the most common drivers used for industrial machinery plays an important role to reduce the catastrophic failures and production lost tonnage.

  • Pawel Lecinski
  • CMRP
Articles
  • Condition Monitoring

What is Machine Learning?

Machine learning is a tool that allows systems the ability to learn and improve automatically based upon experience. Machine learning does not need specific programming to carry out an activity. Machine learning is the development of computer programs that can access data, and through a series of algorithms use the data to learn for itself what action should be taken based on that data.

Two Minute Tips
Detecting Pump Faults Using Motion Amplification with Stuart Walker
  • Condition Monitoring

Detecting Pump Faults Using Motion Amplification

I’ve used motion amplification in industry intensively over the last two years. We’ve had some great successes with it, and it’s changed the way I do my work. We used this technology on cooling water pumps that are…

Case Studies and Stories
  • Condition Monitoring
  • Defect Elimination

Duke Energy Takes Advantage of IIoT for Predictive Maintenance Applications

This case study investigates Duke Energy’s quest to replace its monthly, manual data collection practices with daily, remote data collection and monitoring.

  • Alex West
  • IHS Markit
Articles
  • Condition Monitoring

Large Electric Motor Reliability: What Did the Studies Really Say?

One of the most frequently quoted studies related to electric motor reliability is a 1983 Electric Power Research Institute (EPRI) project performed by General Electric...

Sponsored Content
Back to top