Automating Ghost Noise Detection Yields Big Time Savings

April 9, 2018
A large automaker has not only been able to reduce faulty part detection from an hour to 20 seconds, automating end-of-line ghost noise detection also saved money and resources while improving production quality.

A large automaker was building a new transfer case in the U.S. and needed an end-of-line test system. They were dealing with a two-part issue:

  1. They needed a configurable automated system that could provide early ghost noise detection. Ghost noise is vibration at frequencies not related to the internal gear or bearing frequencies that are typically the source of noise. Current equipment and software wasn’t able to automatically detect this type of noise and manual detection required one hour per unit.
  2. They wanted a U.S.-based partner to supply this type of equipment so that they would have local support, presence and better control. They were working with foreign counterparts for all of their U.S. testing equipment sourcing, build and support. which was time-consuming and expensive.

Our applications and engineering teams worked with their U.S. and foreign engineering teams to identify and propose a solution. The automaker’s teams were particular about the capabilities, robustness and quality of our machine and its ability to provide this specialized ghost noise detection.

Vsync eliminates software code changes

We designed and built the machine to the automaker’s specifications and integrated the ghost noise detection into our test executive software, Vsync. The test executive includes a highly configurable sequence editor, which allows the automaker’s engineers to change the sequence without software code changes.

Detailed ghost noise analysis

This end-of-line noise, vibration and harshness (NVH) qualification test machine manually and/or robotically loads and engages their two part types. It begins with automatic tool clamping and engagement. The motor is then precisely aligned, and the test machine scans, reads and sequences the part. Finally, a test sequence details an automatic vibration pass/fail report for the operator, including ghost noise analysis. Additionally, we’re storing data for all tested units, so identifying a new issue by using all the historical data is much easier.

Faulty part detection time significantly decreased

What once took our customer one hour for faulty part detection now takes them 20 seconds. They can quickly identify units that need further testing and also identify issues that previously weren’t detected. Automating their end-of-line ghost noise detection test saved them time, money and resources while improving their production quality.

Michael Cloughesy, [email protected], is a senior software engineer at RedViking, a member of the Control System Integrators Association (CSIA). Visit RedViking’s profile on the Industrial Automation Exchange.

Sponsored Recommendations

Understanding and Using E-Stops

E-stops, or emergency stop switches, are used to ensure machine as well as personnel safety. They are used to provide a consistent and predictable failsafe response on a wide ...

Demystifying motor disconnect switches: What are they and how are they used?

From conveyor belts to drum mixers, motors are used in virtually every industrial application to drive machinery. Equipment downtime is the main motivation behind monitoring and...

Full Line of DIN Rail Terminal Blocks Video

Altech offers an extensive line of DIN Rail Terminal Blocks including all major Connection Technologies available in the industry to meet requirements for a vast variety of applications...

The Value of Integrating DIN Rail Cylindrical Fuse Holders Into Your Designs

What short circuit currents do I have to consider when purchasing a DIN rail cylindrical fuse holder? That data is available from the manufacturer. For example, Altech cylindrical...