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WearCheck Knowledge & Expertise

WearCheck has the benefit of a global network of industry knowledge leaders. The following resources are drawn from hundreds of years of their experience in the oil analysis industry. We hope you find these resources helpful in your understanding of oil analysis and provide you with an oil analysis program of increased value.

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Case Studies

Oil Analysis Exposes Fleet Operational Challenges : Agricultural Industry

The challenge facing the agricultural industry is the need to meet high production targets for the agricultural season versus an unpredictable length (climate change impact) of the wet season. In some cases, this leads to the agricultural season starting off during wet weather, thus exposing the fleet to a considerable amount of operational risk.

Case Studies

Maintenance Savings Sweeten the Sugar Industry

Case Study : Zambia Sugar. WearCheck’s oil analysis program is anchored in Zambia Sugar’s overall business strategy and entrenched in its overall vision and mission. WearCheck serves as a key stakeholder especially in the area of "Being worldclass and an efficient, low-cost producer, whilst achieving a balanced and integrated economic, social and environmental performance".

Case Studies

Reaping the Renewable Whirlwind

The estimated life span of wind turbines is about 20 years, compared to conventional steam turbine generator units that have averaged 40 years. The failure rate of wind turbines is about three times higher than that of conventional generators and this has historically been attributed to constantly changing loads experienced by the wind turbine as a result of environmental variants. Due to these highly variable operational conditions the mechanical stress placed on wind turbines is incomparable in any other form of power generation and they consequently require a high degree of maintenance to provide cost effective and reliable power output throughout their expected 20 year life cycle. The wind turbine gearbox is the most critical component in terms of high failure rates and down time.

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