REVOLUTIONISING INDUSTRIAL MAINTENANCE

SEMINAL TECHNOLOGIES SUCH AS AI/ML AND IOT FORM THE BASIS FOR PREDICTIVE MAINTENANCE BY WAY OF USING DATA TO DERIVE VALUABLE INSIGHTS. THESE INSIGHTS ARE THEN USED TO FLAG OFF MAINTENANCE EVENTS AS AND WHEN REQUIRED LEADING TO THE WHOLE SYSTEM FUNCTIONING AS A WELL-OILED MACHINE.

- SUJATHA VISHNURAJ

IN THE AGE OF INDUSTRY 4.0, THE BUZZWORD "predictive maintenance" has become ubiquitous in the manufacturing and industrial sector. PdM 4.0 is the latest version of this technique that leverages Al, the loT, and other advanced technologies to take maintenance to a new level of accuracy and efficiency. PdM 4.0 uses advanced technologies such as Al, loT, and data analytics to make maintenance more accurate and efficient. According to Rakesh Prasad from Innover, predictive maintenance is becoming more popular due to the need for organisations to be agile, scalable, sustainable, and resilient. Ramesh Jha from Schneider Electric adds that PdM 4.0 enables timely intervention with minimal downtime, significantly reduces maintenance costs, and enhances operational efficiency. PdM 4.0 is a disruptive change from traditional maintenance strategies, which relied on pre-scheduled or reactive maintenance schedules. McKinsey estimates that Al-driven PdM models can reduce annual maintenance costs by 10% and downtime and inspection costs by almost 20%. Addverb's Bharanidharan S notes that PdM 4.0 aligns with the larger theme of organisations moving from hindsight to foresight for more efficient asset care strategies.

INDUSTRY 4.0 & PREDICTIVE MAINTENANCE 4.0