In manufacturing today, data analysis tools can give management the information they need to make better decisions in areas such as maintenance and labor. Unfortunately, however, many data analytics systems require large sets of historical data in order to generate accurate and useful results.
Rebecca Grollman, data scientist at Bsquare.
According to Dr. Rebecca Grollman, Data Scientist at Bsquare, anomaly detection is different. These algorithms can begin generating useful information wi…
Source URL: Anomaly Detection: Industrial Asset Insights Without Historical Data
Source Website: Advance Engineering – Engineering.com