The phrase "condition monitoring data" is correct and usable in written English.
You can use it when referring to data that is collected to assess the current condition or performance of a particular piece of equipment or system, such as a machine. For example, "The factory floor uses condition monitoring data to assess the performance of their production machines."
Furthermore, the proposed model provides the capability of incorporating condition monitoring data into the operation.
Then, the AC feasibility and stability checks are conducted and the CB condition monitoring data are employed to perform a CB reliability and line availability assessment.
Condition monitoring, data acquisition, knowledge acquisition and representation, as well as the diagnostic reasoning strategy of the knowledge-base system are presented in detail.
Detecting the anomalies timely in the condition monitoring data, which are highly relevant to the potential system faults, has become a research focus in many domains.
Failure data refer to condition monitoring data collected from the very beginning of an engineered system׳s lifetime till the occurrence of its failure.
AAELM are applied for fault detection on an artificially generated dataset to test the performance of the algorithm under controlled conditions and a real case study based on condition monitoring data from a combined-cycle power plant compressor.
The sampling point is on the location where on a bathing water, on average throughout the bathing season, most bathers will be found, provided that the bathing water identified may be regarded as uniform on the basis of factors such as hydrological and topographical conditions, monitoring data and the sources of contamination and pollution.
In practice, the whole life cycle of condition-monitoring data acquired from a machine is already scarce due to irregular measurement recording, and/or the huge amount of time they take to accumulate.
Recently, integrated prognostics methods [17, 18, 19, 20, 21, 22, 23, 24, 25, 26] were developed to achieve real-time RUL prediction during the system operations by combining both condition monitoring (CM) data and physics of failure.
However, in that research, component conditions, such as operational conditions and monitoring data, were not considered, and components were just treated as part of transmission lines.
A supervisory control and data acquisition (SCADA) data-based condition monitoring system uses data already being collected at the wind turbine controller and is a cost-effective way to monitor for early warning of failures and performance issues.
