Introducing anomaly detection and fault diagnosis systems
Anomaly detection and fault diagnosis systems are crucial components of various industries, particularly in areas where safety, reliability, and efficiency are of utmost importance, such as manufacturing, healthcare, finance, and cybersecurity. These systems aim to identify unusual or unexpected patterns, behaviors, or conditions in data, processes, or systems that may indicate the presence of faults, defects, or anomalies.
Delving into the realm of anomaly detection, this section provides a comprehensive overview, unraveling the key principles and methodologies employed in identifying deviations from the norm within diverse systems and datasets.
Anomaly detection overview
Anomaly detection is a technique used in data analysis and ML to identify data points or patterns that deviate significantly from the expected or normal behavior within a dataset. Anomalies, also known as outliers, are data points that do not conform...
