Improve Asset Reliability by Eliminating Equipment Failures Using Predictive Asset Analytics
Digital Transformation empowers organizations to shift from reactive maintenance to predictive maintenance (PdM) strategies. This enables front-line personnel to act before costly failures occur and maximize value throughout the entire asset lifecycle. Improving reliability, performance, and safety are among the top priorities for industrial organizations and businesses today. They are focusing efforts and resources on controlling costs and maximizing value from existing investments.
PRiSM Predictive Asset Analytics can help organizations gain the highest return on critical assets by supporting predictive maintenance (PdM) programs. The PRiSM Predictive Asset Analytics solution provides early warning notification and diagnosis of equipment issues days, weeks or months before failure. This helps asset-intensive organizations reduce equipment downtime, increase reliability, and improve performance while reducing operations and maintenance expenditures.
During this webinar, Ann Attaway, Program Manager, provides an overview of the Predictive Analytics process, its implementation and successes at Air Liquide.
Watch this on-demand webinar and find out how Air Liquide achieved this amazing feat.