From
Signals to
Features
to
Metrics
Design and deploy NVH metrics for use in Machine Condition
Monitoring (MCM) applications, Automated Production NVH test,
and Laboratory test stand automation. Metric formulations
developed in Shield are deployed using our MajX NVH Controller
which operates at the direction of your test stand control
system. The MajX Data Manager retrieves data produced
by one or more NVH Controllers and can schedule delivery of automated
reports based on storable database queries and "what if"
metric calculations using our batch processor.
Use MajX Shield to:
-
Implement a condition based maintenance
program by scheduling downtime only when vibration or other
signals indicate degradation.
-
Protect against quality spills by detecting
sound or vibration anomalies on the assembly line.
-
Easily integrate sound & vibration test and
analysis capability by embedding the
MajX NVH Controller
in your test control system.
-
Explore your valuable dataset without
impacting ongoing test operations using the
MajX Data Manager;
now featuring re-usable queries, "what if" batch processing
and an automated reporting engine
Axle Testing
MajX Shield is used to test over One million axles annually for NVH acceptance in locations around the world.
In these systems The MajX NVH Controller works at the direction of a system PLC to acquire and process axle
response data and provide metrics that can indicate
impulsiveness, whine propensity, etc.
Signal.X assisted a leading machine builder to design these
production axle testers, which successfully produce repeatable
data quickly and autonomously.
 |
|
Use MajX Shield to
devise metrics for Gear Nicks and Gear Whine
|
Engine Testing
Production engine engine cold tests spin non-firing engines
through multi-step profiles where metrics designed in MajX
Shield and measured by the MajX
NVH Controller identify torque, vibration and sound anomalies.
|
|
 |
|
Re-sampling microphone data vs. turbo spool position
or crankshaft position can isolate different signal
components within the same signal. |
| Full data
retention facilitated by the
MajX Data Manager allows batch
processing to explore "what-if" metric behavior. Here
14000 engines are used to refine joint audio and
vibration nick detection limits in order to predict future
failure rates. |
 |
Turbocharger Testing
|
Turbocharger testing is a challenging
task where success depends upon the precise tracking of
frequency components through extreme RPM gains over very
short periods. Use MajX Shield to design metrics to
quantify unbalance, rub detection, Spool instability,
blade defects, leaks, etc. |
|
Traditional order tracking methods
cannot match the discrimination offered by NI's patented
Gabor order analysis method as implemented in MajX
Shield. No longer will signal processing limit
ramp rates in rotating machinery order analysis. |
Spool vibration is expressed in the time/frequency
domain. A mask derived from spool RPM isolates 1st order
energy covering a 100K RPM gain in 10 seconds. |
Transmission Testing
|
A leading
heavy duty transmission manufacturer relies on the MajX
system to
automate laborious and time-consuming laboratory
procedures by embedding the MajX NVH Controller in a
development dynamometer. A custom Signal.X application
communicates with the NVH controller to define gear mesh
fundamental frequencies and harmonics to extract as well
as meta data which propagates through the data file
headers to subsequent test reports. Now, an
operator can complete in a day, measurements and
analysis that previously took several weeks. |
|
Order Analysis of a six microphone
array isolates Sound Pressure Level (SPL) from a primary
gear mesh frequency and computes the Mean SPL vs. RPM. |
Hydraulic Pump Testing
|
Signal.X is helping to develop metrics
for aircraft hydraulic pumps as part of an effort to
implement laboratory and in-flight Predictive Health
Maintenance (PHM) capability. MajX is deployed in an R&D
setting to provide monitoring of pumps undergoing flight
profile qualification testing in order to define
detectable machine degradation.
Both high speed (acceleration and
dynamic pressure) and low speed (temperature, flow,
etc.) plus extensive meta data go into each data file.
Data analysis relies extensively on the MajX Data Manger
and its built-in batch processing capability. |
 |
 |
|
Vibration and pressure through a flow sweep is
filtered and broken into 1 rev long
frames to produce a rev domain ensemble which is stacked
in an intensity plot. Columnwise ensemble statistics
emphasize periodic events and produce a sensitive indicator of mechanical degradation.
|
|
Applications... |
