vali::tool automatically detects, marks and (optionally) corrects untrustworthy data, it detects outliers, noise and checks for discontinuous data. It ensures only high quality data are fed into the event detection module. It also provides the user with indications on sensor maintenance requirements, as well as automatic detection of malfunctions.
Provides self-adaptive, self-controlled data validation in real time
Ensures both sensitive and reliable alarm limits respectively setpoints for process control
Analyzes noise, outliers and other combinations in real time to reliably detect any malfunction at an early stage
Considers user interventions in real-time
Application-specific training period considers normal fluctuations of individual water matrix and typical process dynamics
Helps to dramatically reduce false alarm rates
Configurable auto-correction of data based on threshold, outlier and noise analysis
>>> Điểm nổi bật của ana::tool Scan