CMRemote, a non-intrusive remote condition monitoring system being developed by Dresser-Rand, will incorporate Swantech’s patented stress wave analysis technology into diagnostic software that analyses data collected remotely from compressors and turbines.
Swantech also will develop and supply the data acquisition hardware for the CMRemote system.
Dresser-Rand says that the ability of the products to identify faults well before conventional methods will significantly reduce downtime throughout the oil and gas, chemical, and petrochemical and refining industries.
In operation, Stress Wave Analysis (SWAN) automatically detects and measures the Stress Wave Energy that is created as machine parts come in contact with a defect. SWAN detects this energy at wear damage levels significantly below the levels that are detected by traditional monitoring techniques.
An externally mounted SWAN Sensor detects stress waves, transmitted through the machine’s structure. The sensor converts the stress wave energy into an electrical signal which is then amplified and filtered by a high frequency band pass filter removing unwanted low frequency sound and vibration energy.
The output is a Stress Wave Pulse Train (SWPT) that represents a time history of individual shock and friction events in the machine. The digital processor then analyzes the SWPT to determine the peak level of the Stress Wave Energy (SWE) and the total energy content generated by the shock event. The computed SWE is displayed on a system’s control panel or monitor and can be recorded with other SWE readings.
SWAN measures even slight shock and friction events that occur between contact surfaces. The level and pattern of anomalous shock events becomes a diagnostic tool.