ESA can identify subtle changes in electrical signatures that may indicate early signs of equipment degradation or impending failure, allowing for proactive maintenance intervention before a breakdown occurs.
19% Overall reliability improvement based on increased in MTBF & Uptime Jaya Shree is the largest linen integrated facility in India. It has more than 42000 spindles and hundreds of machines – Hackling, Sliver Blending, Spinning, Power Looms (Weaving & Knitting), Dyeing and other balance of plant equipment. Jay Shree monitors conditions of bearings, gearboxes, fans…
Red Sea Gateway Terminal improved reliability of their wheeled gantry cranes with ML, AI, IoT vibration, ultrasound and temperature sensors. This case study if for maintenance managers and CIOs that want to digitize reliability to improve crane maintenance in port of industrial installations.
15 days Fast Implementation due to wireless sensors and SaaS 48% More assets under digital predictive maintenance 3x Improvement in accuracy and timely prediction of faults. 15 % reduction in unplanned downtime Reduced inspection possible for machineries installed in difficult to reach locations. Increased asset life due to reduced ware leading to capex savings Production…
36% Overall reliability improvement based on increased in MTBF & Uptime 5 Large Critical assets monitored 7 Faults Predicted 21% reduction in unplanned downtime Challenges Outcomes Solving Machinery Huddles with AI The 72+year-old company “Essel Mining & Industries Limited” was founded in 1950, it holds a legacy of innovation and growth. EMIL has expanded its…
6 weeks to full implementation 58 assets monitored 22 faults predicted 32% reduction in unplanned downtime Reduced inspection possible for machineries installed in difficult to reach locations. Increased asset life due to reduced ware leading to capex savings Production loss prevented due to reduced unplanned downtimes Reduced overall maintenance cost Reduced inspection possible for machineries…
Effective ways to reduce plant downtime and increase productivity in the manufacturing plants are enlisted below – Downtime is the loss of productivity in manufacturing industries due to the lack of equipment maintenance, real-time machine health data insights and human error. It is one of the most critical issues in the processes and operations of…
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