Ventia finds the underlying causes of machinery problems, preventing potentially catastrophic failures and extending the life of our clients' assets.
In a typical plant, between 30% and 40% of machines do not operate at peak health. Ventia's asset management team finds the underlying causes of machinery problems, preventing potentially catastrophic failures and extending the life of our clients' assets.
Defective machinery can have several underlying causes, including:
- high vibration levels and overheating
- insufficient lubrication
- corrosion
- bad foundations.
To identify whether any of these underlying causes are present, our team uses vibration analysis and other condition monitoring technologies. We combine this with an expert eye honed by many years of experience working with all kinds of rotating equipment.
In many cases we can fix a problem ourselves, using techniques like laser alignment. For problems that require more detailed or systemic fixes, we provide independent reports with clear recommendations.
As well as conducting condition monitoring, we help our clients set up distributed control systems (DCS) for asset monitoring and train their staff in running diagnostics.
Our experience sets us apart
What makes our team special is our combination of technology and experience. We're not data crunchers, we're machine whisperers, never satisfied until all our clients' critical machines are running at peak health. We also combine electrical and mechanical expertise, collaborating with our in-house electrical and mechanical engineers [link to engineering design] for specialist tasks such as arc flash analysis.
From reactive to predictive maintenance
Our team's condition analysis work often leads to broader recommendations for asset maintenance programs and systems. For example, if a piece of equipment fails, we'll perform a root cause analysis to understand why the failure occurred and to prevent it from happening again.
By basing their asset maintenance programs on knowledge of what problems are likely to occur and when, clients can shift from reactive to predictive maintenance.