Portable Solutions Explained
Vibration monitoring has been around since the late 1970s and is recognised throughout the world as the most versatile technology for determining the mechanical condition of a rotating machine (asset). The USB-Vib Mobile solution described here sets a new standard for cost effective and accurate vibration monitoring. The asset owner collects the data, the vibration analyst provides a condition assessment: there are no traffic jams and no need for a busy plant engineer to go back to school to learn the arcane art of spectral analysis.
What is it?
The system comprises three main components:
- the USB-Vib sensor
- any USB-enabled hand held PC (can be consumer through to IP67)
- the SmarTrend software that is accessed from any internet enabled PC browser.
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What does it do?
The USB-Vib sensor converts vibration energy into a digital data stream that is packaged into fault symptoms within the hand held PC (PDA). The user follows a pre-defined route and collects key vibration data from critical assets. The resulting data are then uploaded to the SmarTrend software package for alarm status review, plotting and reporting.
The Process
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How does it do it?
A cool circuit board within the sensor uses USB technology to power the sensor and transmit the digitised data to the PDA. The circuit board provides vibration data in three formats: velocity, demodulated acceleration and raw acceleration. High resolution spectral analysis methods are then used to extract machine fault symptoms and the raw data are stored for viewing within the SmarTrend web application.
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What’s so good about it?
- On average, it’s 4 - 8 times less expensive than its ancestors
- Flexible platform - can be used with any USB host device running Windows Mobile as a hand held PC
- No IT department problems, use your login and password to access the SmarTrend web application from any internet enabled PC anywhere.
- No need to become a vibration analyst, you can pay someone else to analyse your data
- Less traffic jams, less carbon, less stress
Key Features
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