Predictive and Preventive Maintenance


By Vinay Mehendiratta, PhD on December 8 2017

      Predictive maintenance might sound like a buzzword but I have seen it in action. I can take the credit to implement it and be useful for end users. Predicting unplanned failures can be beneficial to two user groups.
• Determine warranty cost
• Determine root cause of unplanned failures or inferior output
Warranty cost has been a research subject in insurance industry for long. A manufacturer will use predictive maintenance to calculate the right warranty cost and offer to the customer where it provides warranty, extended maintenance and service contracts. Terms and conditions of a warranty and extended warranty are designed based on insights from warranty models. . ...

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Time Series IoT applications in Railroads


By Vinay Mehendiratta, PhD on December 8 2017

      Over the last fifteen years, Railroads in the US, Europe and other countries have been using RFID devices on their locomotives and railcars. Typically, this Information is stored in traditional (i.e. mostly relational) databases. Information from the RFID scanner provides information about the railcar number and locomotive number. This railcar number is then mapped to existing railcar and train schedule. Timestamp information on scanned data also provides us the sequence of cars on that train. Information from data obtained by scanning RFID on locomotive provides us the number of locomotives and the total horsepower assigned to the train. It also informs whether locomotive is coupled in front of the train or rear of the train.

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System reliability


By Vinay Mehendiratta, PhD on Jan 25, 2018

      System reliability, uptime and downtime measures are core to Greenlots’s customers and EVSE users. Measuring these inter-related measures helps us check system’s health, identify bottlenecks, and offer us areas of opportunity to enhance customer satisfaction

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System reliability is measured as weekly/monthly percentage uptime of device-ports. It is a high-level indicator of system’s health. A system is said to be performing well if it reliability numbers are high and don’t fluctuate significantly over a period of time.

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Natural Gas Storage Optimization


By Vinay Mehendiratta, PhD on Nov 2, 2015

      It has been observed and widely accepted that demand of natural gas follows seasonal pattern with peak in winter and trough in summer. Production rate of natural gas is almost constant and generally not agile enough to meet peak demand in winter

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It has been observed in research literature that price of natural gas follows seasonal pattern with peak in winter and trough in summer. A trader exploits the price differential using spot price and forward market price information. The storage facility operator’s (owner or lessee) objective is to inject gas into storage facility at low price and withdraw gas from storage facility at high price, and benefit from price differential.

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REAL-TIME STOCKYARD OPTIMISATION


By Vinay Mehendiratta, PhD on Feb 21, 2017

      The ‘short term scheduling problem’ — a fiendish puzzle that has sapped the efficiency of the mine-to-ship supply chain for decades, costing millions. Ben Koch, Director of Engineering and Vinay Mehendiratta, PhD, Director of Research and Analytics at Eka explore the challenge, and how recent technological breakthroughs have finally provided a solution.

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THE STOCKYARD PLAYS A VITAL ROLE in the mine-to-ship supply chain. Operations at a stockyard are unique, complex, and dynamic – efficiencies or the lack thereof at this crucial stage can make an enormous difference to a company’s bottom line

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