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Importance of Overall Vibration Measurements in Predictive Maintenance

Overall measurements can be used for identifying a developing fault in a piece of equipment. Overall measurements can be trended over time to make out the trend in machine health.

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

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Reading Time: 8 minutes
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…
Read More Improving Pump Reliability and Efficiency with IoT and AI  – Using Electrical, Vibration and Ultrasound based condition monitoring data.

AI Driven Cost Effective Maintenance Strategy for Steel Industry

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Reading Time: 4 minutes
predictive maintenance case study 0% Downtime due to lack of spares 28% Reduction in inspection of the gear boxes Early detection and prediction of gear box failure in sinter machines. These gearbox spares have  long lead time. Early detection allows Tata Metaliks  to take corrective action and also order gearbox spares in time. Challenges Detecting…
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Electric Submersible Pump (ESP): Improving Reliability  and Fault Prediction with Motor Current Signature Data and AI

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Reading Time: 10 minutes
ESP, is an efficient and reliable artificial-lift method for lifting moderate to high volumes of fluids from wellbores. ESPs are widely used in the oil and gas industry to lift fluids from the reservoir to the surface. ESPs are also used in water applications, such as irrigation, municipal water supply, and groundwater remediation. ESPs offer…
Read More Electric Submersible Pump (ESP): Improving Reliability  and Fault Prediction with Motor Current Signature Data and AI

Textile Industry Case Study for AI Driven Predictive Maintenance

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Reading Time: 4 minutes
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…
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Predictive Maintenance of cranes Red Sea Gateway Terminal

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Reading Time: 7 minutes
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.
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Yamama Cement – Journey to Operational Excellence

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Reading Time: 5 minutes
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…
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Essel Mining improves reliability across its mining assets

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Reading Time: 6 minutes
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…
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Pidilite – Innovating with Precision and Reliability

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Reading Time: 4 minutes
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…
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Reduce Plant Downtime

How to Reduce Plant Downtime and Increase Productivity?

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Reading Time: 4 minutes
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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