Related to "identifying"

Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.[5] In energy production in addition to loss of revenue and component costs, fines can be levied for non delivery increasing costs even further. This is in contrast to time- and/or operation count-based maintenance, where a piece of equipment gets maintained whether it needs it or not. Time-based maintenance is labor intensive, ineffective in identifying problems that develop between scheduled inspections, and so is not cost-effective.

Description:

Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.[5] In energy production in addition to loss of revenue and component costs, fines can be levied for non delivery increasing costs even further. This is in contrast to time- and/or operation count-based maintenance, where a piece of equipment gets maintained whether it needs it or not. Time-based maintenance is labor intensive, ineffective in identifying problems that develop between scheduled inspections, and so is not cost-effective.

Related Keyphrases:

unplanned downtime costs | Predictive maintenance | maintenance activity | perform maintenance | condition monitoring | identifying problems | component costs | energy production | instance costs | labor intensive | ultimate goal | equipment | non delivery | inspections | performance

Description:

Temperature management is one of the most important part in the design, development and testing process of electric / hybrid vehicles. The performance and aging of all critical components of electric vehicle highly depend on the temperature distribution and developing hot spots within. Therefore,  faster and accurate temperature measurement is necessary at each stage of EV product development e.g. individual component level testing for identifying performance limits and temperature behavior of individual components, and fully assembled electric vehicles to ensure the overall performance and safety.

Electric / Hybrid vehicle design and architecture differs a lot from the traditional Petrol and Diesel vehicles. The shift from low voltage to high voltage (up to 1000V) connections and operations within the similar vehicle space (or some time lesser space) bring challenges in terms of safety, limited access and electromagnetic noise issues during testing and measurements. Fiber Optic technology based sensors e.g. Fiber Optic Temperature sensors are becoming more and more popular in testing Electric / Hybrid vehicles due to their immunity to electromagnetic field, ruggedness, smaller size, faster response, high accuracy and safety of operation.

Related Keyphrases:

Fiber Optic Temperature sensors | accurate temperature measurement | electromagnetic noise issues | individual component level | temperature distribution | Hybrid vehicle design | Fiber Optic technology | similar vehicle space | individual components | Temperature management | EV product development | Hybrid vehicles due | electric vehicles | electromagnetic field | overall performance