Beginning Anomaly Detection Using

 Manufacturing

Anomaly detection is also being used heavily in the manufacturing sector. Specifically, 

since most of the manufacturing nowadays involves robots and a lot of automation, 

anomaly detection can be used to detect malfunctions or impending failure of parts of 

the manufacturing system.

In the manufacturing industry, because of all the automation that is happening, 

there is a lot of emphasis on various kinds of sensors and other types of metrics 

being collected in a real-time or near real-time basis. This data can be used to build 

a sophisticated anomaly detection model to try to detect if there is any impending 

problem that will be seen very soon in the plant or the manufacturing cycle.

Another example of anomaly detection and how it can be used in business is the case 

of oil and natural gas platforms. An oil and natural gas platform typically has thousands 

of components all interconnected in various ways in order to make the plant functional. 

Needless to say, all the components can be monitored using sensors that do specific 

measurements of the various parameters of the components to which the sensors are 

attached to. All these sensors can be part of an IoT (Internet of Things) platform. If you