Improving Pump Reliability and Efficiency with IoT and AI  – Using Electrical, Vibration and Ultrasound based condition monitoring data.

Centrifugal pumps are widely used in the Industry. Pumps are one of the major contributors to energy consumption and plant breakdown occurrences. Pump operators usually face the following two challenges with centrifugal pumps: The solution to the above two problems is simple  – Operate the pumps at or near their best efficiency point. Even though…

Decoding Reliability : Exploring Predictive Maintenance through Electrical Signature Analysis

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.

Textile Industry Case Study for AI Driven Predictive Maintenance

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…

Predictive Maintenance of cranes Red Sea Gateway Terminal

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.

Yamama Cement – Journey to Operational Excellence

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…

Essel Mining improves reliability across its mining assets

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…

Pidilite – Innovating with Precision and Reliability

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…

Reduce Plant Downtime

How to Reduce Plant Downtime and Increase Productivity?

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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