Predictive Maintenance in Pharmaceutical: Preventing Downtime & Excess Energy Consumption with Fault Detection and Diagnosis

By implementing Nanoprecise’s Energy-Centric Predictive Maintenance, a leading pharma giant was able to prevent downtime, while saving upwards of $50,000 in energy costs per year.

Applications

• AC Monitors
• Screw
• Compressors
• Fans
• Crushers
• Vertical Pumps

Outcomes

• Downtime prevention
• Energy cost savings of $50k/year
• CO2 reduction of 127,376 kg/year

Sector

Pharmaceutical

Early Fault Detection and Diagnosis to Avoid Downtime Cost

In pharmaceutical production, where supply chain disruptions can lead to costly downtime, product wastage, and regulatory risks, operational efficiency is critical. To maintain competitiveness amid tight profit margins and rising energy costs, a leading pharmaceutical company deployed Nanoprecise’s Energy-Centric Predictive Maintenance solution. The system provided early fault detection and continuous visibility into potential equipment failures and excess energy consumption. It quickly identified an Induced Draft (ID) fan operating in a fault state, consuming 46.7% more energy than necessary, helping prevent costly downtime and improving overall efficiency.