Light weight electric vehicle are usually two or three wheelers, weighing less than 100 kilograms and energy storage device such as fuel cell or battery. They also use light weight metals for their construction. Earlier, weight of electric vehicles increased considerably by usage of traditional heavy batteries. This makes light weight electric vehicle an inevitable option. Light weight electric balances weight and improve the endurance of batteries for automobiles. Electric vehicle provide smooth operations, stronger acceleration and require less maintenance. Light weight electric vehicles have gathered renewed interest due to concerns about future availability and price of fossil fuels, increasing green house gas emissions and air pollution. Electric vehicles are represented as zero-emission vehicles, thus help to prevent environmental pollution.
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This technique is generally used on rotating equipments and other machinery such as electric motors, pumps, presses and internal combustion engines. Manufacturing processes, such as breweries and oil refineries, employ monitoring systems, to measure critical parameters. This system makes use of sensors for the purpose of monitoring the machines. SCADA (Supervisory Control and Data Acquisition), is used to analyze information and provide data. This system is used to monitor current and historical performance of equipments. Machine health monitoring facilitates prediction of machine failure which minimizes production losses, by planning corrective activities beforehand. This technique is primarily aimed towards reducing cot and repair time and is considered to be an efficient strategy in the manufacturing industry. Machine health monitoring involves strategic tools which help in decision making processes.
Various products of machine health monitoring systems are corrosion monitoring equipments, thermograph equipments, lubricating oil examination equipments, ultrasound emission equipments and vibration monitoring equipments. These products make use of various components such as spectrometer, corrosion probes, spectrum analyzer, ultrasonic detector, thermal camera and vibration sensor. The rising need for a system to decrease the risk of unforeseen machine failures and implementation of planned preventative maintenance techniques has increased the demand for machine health monitoring system Obtaining a return on investment from the installment of machine health monitoring system, and irregular maintenance cycles which may require certain modifications in existing machinery to fit the new systems are some of the factors that are constraining the growth of the market. Smart sensors development, vibration sensor machinery and development of Internet of Things (IoT) for machine health monitoring are some the current trends in this industry that are likely to drive the market during the forecast period.
Currently, North America accounts for the largest market share. The growth is mainly driven by the technological advancements in the industrial processing which in-turn have increased the adoption of machine health monitoring systems in this region. However, with growing manufacturing bases of the major market players in automotive, semi-conductor and consumer electronics sectors, Asia-Pacific is expected to be the key contributor for the market growth among all the geographic regions in near future
Some of the major players in this market are Bruel & Kjaer Vibro GmbH, AZIMA DLI Corp., The Emerson Electric Company, General Electric Corporation, Fluke Corporation, Honeywell International Inc., National Instruments Corporation, Parker Kittiwake Ltd., Rockwell Automation Inc., and SKF Company among others.
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