Mercer Celgar: Machine Monitoring

Mercer Celgar, a leading pulp and wood product producer, faced a critical challenge in 2018 when their existing automated machine health diagnostics system was discontinued. This necessitated a search for a new, scalable predictive maintenance solution capable of integrating diverse data, enhancing machine learning, and forecasting failures to optimize asset performance.

After a thorough evaluation, Mercer Celgar selected Senseye Predictive Maintenance due to its advanced AI capabilities, seamless system integration, and proven track record in maximizing uptime. The solution, chosen after three successful pilot deployments, enabled comprehensive monitoring of multiple production lines and provided individual reporting across all machine types within a single platform. This allowed for efficient performance tracking, comparison, and crucial early insights into potential breakdowns.