Yokogawa’s IIoT Plant Asset Management (PAM), an OpreX Asset Management and Integrity brand solution, prevents costly downtime and equipment repairs while improving safety for process equipment and plant personnel. It is a unique vibration monitoring solution using Yokogawa’s Sushi Sensor with long range wireless networking that applies Artificial Intelligence and Machine Learning (AI/ML) analytics for very early anomaly detection in rotating equipment.
IIoT PAM ultimately improves plant efficiency by enabling rotating equipment managers to utilize their resources more effectively and make more informed decisions. Robust sensors automatically collect hundreds of data points simultaneously from throughout the plant and transmit them via a single gateway to be digitized, stored, and analyzed on premise and/or in the cloud. Artificial Intelligence (AI) and Machine Learning (ML) algorithms detect abnormal conditions, predict failures, and prescribe maintenance to keep equipment healthy and running optimally.
Traditionally, non-mission critical rotating equipment such as pumps, fans, and motors, have been monitored by periodic operator rounds or are unmonitored altogether. IIoT PAM automates this process and improves accuracy by collecting and digitizing precise data on a configurable interval (typically every hour) from hundreds of machines simultaneously. Where traditional operator rounds are reactive in nature, PAM takes a proactive approach to predict equipment abnormalities.