Imagine relying on an industrial monitoring technology that not only delivers critical data for your predictive maintenance strategy but is also certified for quality, safety, and compliance in one of the world’s most demanding markets: Australia. That trust now has a name and a seal — Dynamox’s DynaGateway LTE-S and IoT-S have just received ACMA… Continue reading Dynamox earns ACMA Certification for Australia
Category: Technical Articles
In this category of the Dynamox blog you will find technical articles about predictive maintenance and the DynaPredict solution
Electric motors: 5 cases of condition analysis
Faults in electric motor drives can result in very high costs for companies. That’s why it’s important to implement monitoring systems that can supervise them properly and thus predict or anticipate possible future problems.
Gearmotors: Inspection, maintenance and lubrication
Gearmotors are essential to industry. Find out about the main models used in industry and the possible failures.
Orbit analysis: ideal for vibrating screens
From the orbit analysis, it is possible to visualize several failure principles that generate the amplification of vibratory signals.
Acceleration envelope: get to know this analysis
Acceleration envelope is one of the most commonly used analyses for fault diagnosis. This method is quite useful for evaluating the behavior of sliding components, mainly bearings.
Cepstrum: analysis of harmonic families
Cepstrum is a technique for identifying families of harmonics and sidebands in complex and consistent signals.
Spectral analysis: how to apply it to analyze vibration in industrial assets.
Spectral analysis: see how to use some useful methods to analyze data and apply condition-based maintenance.
Vibration analysis metrics: Kurtosis and Skewness
Learn about two complementary metrics that help evaluate signals for accurate fault diagnosis: Kurtosis and Skewness.
The Peak, Peak to Peak and RMS values in vibration analysis
Check out how some metrics such as Peak value, Peak to Peak, and RMS help in vibration signal analysis and predictive maintenance.
How to identify failures using spectral analysis
Learn how to identify industrial asset failures using spectral analysis to identify vibration patterns in components.