Each year 7,000 critical water main breaks occur in Australia resulting in billions of dollars in rectification and consequence cost. In contrast, the cost of preventative maintenance is only 10 per cent of the reactive repair cost.
The Enterprise Analytics team has developed a disruptive technology that uses data analytic techniques to predict failure probability based on learned patterns, offering a solution to accurately predict water pipe failures resulting in effective preventative maintenance and a reduction in customer interruptions.
Fang Chen - Research group manager
Matt Zhang - Senior research scientist
Yang Wang - Senior researcher
Zelin Li - Research engineer