iot based solution for your machinery vibration monitoring
Gulfservs is partnering with a n European organization in an IOT based solution for condition monitoring and diagnosis. A smart and cost effective condition monitoring system CMS.
An embedded web interface for configuration and data visualization. Its friendly and intuitive Dashboard is composed of multiple Desktops. Data is shown in Widgets, whose size and position (desktop layout) is fully customizable for each user.
Web interface for configuration and displaying. Flexible storage system based on events and conditions. Automatic monitoring of failure modes. Calculated parameters based on user-defined formulas. Powerful ARM Quad Core processor. 1 Gb RAM. 4 Gb internal storage. FPGA-based simultaneous processing. 8 analog inputs. High frequency (51.2 kHz) simultaneous acquisition. Real-time data acquisition (hardware pre-buffering). USB host and Expansion Port to plug in additional modules.
web interface
Dashboard
The Dashboard visualizes the real time measurements performed by the module. It also shows the historical data stored in the unit.
Widgets
Data is shown in different types of Widgets. Each of them provides specific analysis and diagnosis tools.
Layouts
Desktop layouts can be easily defined by creating over the interface the space for each Widget. Size and position can be modified at any time.
Alarm Log
From any of the desktops the users have access to the "Alarm Log" a tool that shows all the events or anomalies detected in the monitored machine in real-time.
Configuration
It includes a web interface to configure all the system options and monitoring features available on the units.
Widgets
Parameter Matrix
Parameter Matrix
Parameter Matrix
The Parameter Matrix is composed in columns by the different measuring points, and in rows by the different parameters measured on each one, which correspond to the symptom indicators that allow the failure modes of the machine to be monitored.
Spectrum
Parameter Matrix
Parameter Matrix
The spectrum brings a lot of information to the vibration analyst about the machine operation state. With the help of the several available cursors (sidebands, harmonics, etc.) it can be used for establishing the right diagnosis.
Waveform
Parameter Matrix
Waveform
The waveform widget displays the original vibration signal collected in each snapshot and can be used to make measurements from it using any of the available cursors.
Trends
Waterfall
Waveform
Trend graphs show continuous indicators for each of the parameters that provide useful information about the status of the machine. They help the user to detect time variations in critical parameters.
Waterfall
Waterfall
Waterfall
The Spectrum Waterfall allows simultaneously multiple curves of data to be displayed. The different spectra are taken at different times but in the same point and with the same sampling configuration. Thus, with the help of this graph, the analyst can detect small changes that have steadily happened in the spectra of the machine.
Orbit
Waterfall
Waterfall
The Orbit displays the data of two analog channels, sampled simultaneously, in the time domain. The signals from two channels are drawn on an X and Y plane to display the shaft position change versus the angle of rotation. Orbit displays give a two dimensional visual picture of the motion of a rotating shaft. An ideal well balanced shaft
The Orbit displays the data of two analog channels, sampled simultaneously, in the time domain. The signals from two channels are drawn on an X and Y plane to display the shaft position change versus the angle of rotation. Orbit displays give a two dimensional visual picture of the motion of a rotating shaft. An ideal well balanced shaft would have no movement in any direction and would produce a dot in the middle of the plot. The shaft movement can give an indication of the vibration source.
Phase Diagram
Shaft Centerline
Shaft Centerline
Phase diagrams, also called Bode and Polar plots, display peak-phase parameters in different representations. The Bode and Polar representations are combined in the same widget, which can be used to describe a rotational speed vector signal during speed changes. This is typically used for transient (non-stationary signals) analysis, in both run-up and run-down operations of the machines.
Shaft Centerline
Shaft Centerline
Shaft Centerline
Primary and secondary machinery malfunctions such as misalignment, fluid-induced instability, and rubs, to name a few, can produce significant changes in the rotor’s radial position of a machine within the bearings or seals. These changes in the average radial shaft position can be directly observed via the Shaft Center Line plot.