Engine Test Cell Vibration Monitoring


Introduction

This application note describes the use of vibration monitoring for an Engine Test Cell application.  The application is implemented at an automobile engine manufacturing facility.  At the end of the production line of 4-cylinder gasoline engines are six test cells where the completed engines are rigged up and started-up for the first time after manufacture.  Historically, the engines were allowed to warm up for a few minutes and then inspected manually by the operator.  The operator would listen for unusual noises and check for oil or water leaks using an ultraviolet lamp (the oil and water in the engine contain dye that fluoresces under ultraviolet light).  The next step in the evolution of the test cells was to use a portable data collector to acquire vibration data from several points on the engine block while the engine was running.  From 5 to 10 analysis parameters were defined to aid in diagnosis of internal problems in the engines.  Alarm limits were assigned to the parameters to provide a pass-fail result for the test.  After successful demonstration of vibration analysis for the engine test cell program, an automated vibration monitoring system was designed to replace the manual vibration data collection process.

Technology Proof / Project Justification

Vibration analysis of production engines was proven very successful in reducing the number of customer returns to the engine production facility. The concept of using vibration analysis was begun at the facility under a services contract using a portable data collector. Several months of testing showed a remarkable reduction in the pull rate of engines (see graph).


For the purposes of technology proof and project justification, the manual method of data collection proved useful. On a long-term scale, however, the manual mode was expensive and required a full time person onsite. An automated method for data collection and alarming on developed frequency ranges and alarm levels was desired.

A Cooperative effort between the vibration services contractor and Engine Test Engineering developed the following criteria for an automated monitoring system. 

·         Simple graphical user interface for the test units installed in the test cells.  Test preparation after an engine entered the test cell should consist of entering the engine model and serial number, and attaching the sensor(s) to the engine.

·         Test process automated with no further intervention required by the test cell operator.

·         Test results presented to the operator as a simple pass or fail indication.

·         Ethernet network connection of the individual test cell units to the PC server.

·         Master database which stores test configurations, test results and statistics maintained on the server.

·         The individual test cell units should be capable of continued operation if disconnected from the network.

·         Bar code readers on the test cell units to allow the operator to input both the engine model number and the engine serial number by simply scanning the traveler tag attached to the engine.

·         All data from the tests (spectra, waveforms, analysis parameter values) to be saved in the database.

·         Full compliment of vibration analysis capabilities including order tracking, waveform parameters, spectral bands, etc.

The system was successfully designed and implemented. All criteria were met.

Automated System Test Description

The following section describes the steps that take place during a typical engine test.

1.       An engine comes into a test cell off the assembly line.  The test cell operator “rigs” the engine.  This consists of connecting the sensors, fuel, water and electrical fittings to the engine as well as an exhaust manifold.  The operator then starts the engine to begin a warm-up process.

2.       Next, the operator scans a traveler ticket attached to the engine.  The traveler ticket has bar codes for the engine model number and the engine serial number.  The engine model number is used by the test unit to select the appropriate test setup form the database and the engine serial number is used to identify the test results.

3.       The test unit monitors the tachometer for a target RPM that is specified in the test setup.  An analog tachometer with the current RPM is displayed on the screen of the test unit.

4.       Once the target RPM is reached, a timer in the test unit begins a delay time (value of the delay time is specified in the test setup).

5.       When the delay time is finished the test unit begins acquiring data from the sensors.  All sampling parameters (sampling rate or f-max, number of samples, number of averages, etc.) are contained in the test setup.

6.       After the data acquisition is complete, the test unit analyzes the data and computes all the parameters specified in the test setup.

7.       Next, the test unit compares the results of the analysis parameters to the alarm values specified in the test setup.  If any of the alarm values are exceeded, the test screen indicates that the engine failed.  Otherwise, the screen indicates the engine passed.

8.       All the data and test results are then transferred over the network to the master database on the server.  If the network is not available, the data and results are cached on the local hard disk of the test unit until the network is available.

9.       If desired, the server can send a failure report to a printer on the network with pertinent test information.

With the automated vibration monitoring system in place, up to six tests cells can now be monitored full time for about the same cost as one man monitoring the engines for one month! The new system is cost-effective and presents the operator with a minimum of new responsibilities as outlined in the testing section above.

A few specific examples of defects detected

Gear defects in the engines proved to be the most easily identifiable defects as shown below.

 
 

Gear damage was one item that was easily identifiable for pulling engines prematurely. One can see from the photograph and data shown below that this defect is easily identifiable through spectral analysis. Gear damage and a close-up are shown below.
 
 

 


The spectral data above clearly indicates the problem.
Three separate faults have been identified in the spectral data, two of which have been accounted for at this time. Gear defects (shown above) and rundown rattle have been identified as potential defects worth a rework of the engine. The third defect is at 9.5 orders of turning speed, and is a suspected resonance, but as of now, this has not been proven.

The 20th order vibration shown below (fig.38) relates to the chain mesh with gear sprocket. It is reasonable to conclude that the 20th order could be indications of defective tensioners and rundown rattle. Engines with known rundown rattle were tested at one and eight minute intervals. In every case the audible rattle diminished about 6 minutes into the test, but sidebands of the 20th order increased indicating that the rattle is more detectable over time with vibration analysis.
 
 

 
Summary

The use of vibration analysis has proven to be an invaluable tool in the production line testing of engines. The reduction in pull rate, coupled with the identification of specific engine faults, enables the facility to enjoy a significantly improved reputation for customer satisfaction. The application of Test Stand vibration monitoring provides a cost-effective solution for engine testing with a significant impact on engine production quality. In addition, production line speed was increased over the manual method of data collection using a portable data collector.

MAARS would like to thank Andrew Daly for providing the pictures, spectral data and text for this application note.  Most of the information contained herein was adapted from his paper, “Detection and Identification of Gear-Relater Noise Concerns on DOHC Engines Using Spectral Analysis” developed for his B. Eng. (Honours) Degree in Manufacturing Systems Engineering at the University of East London.

 

 


 



 

 




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