Chemical Plants
Within the intricate realm of the chemical industry, operational challenges persist, necessitating a strategic approach to ensure efficiency and reliability. Predictive maintenance (PdM) emerges as a transformative solution, addressing key issues manufacturers face with plant equipment.
Trusted by chemical industry leaders like Zeon, our solutions optimizes equipment reliability and contributes to meeting safety standards and environmental regulations!
Chemical Manufacturing Industry Challenges
Inherently Dangerous Applications
Chemical manufacturing involves applications with inherent dangers, posing risks to both equipment and personnel.
High Temperature & Pressure Conditions
High-temperature and high-pressure environments in chemical manufacturing can challenge the operational capabilities of traditional condition monitoring techniques.
Large Range of Equipment Sets with Highly Varying Speed
Diverse equipment sets with significantly varying speeds demand nuanced monitoring solutions.
Predictive Maintenance Solutions for Chemical Plants
Advanced Prescriptive Maintenance Software
Our predictive maintenance software excels in identifying faults at an early stage, and also offers timely recommendations for corrective action. This capability enables planned maintenance during scheduled downtimes, effectively minimizing the impact of safety norms on operational efficiency.
Adaptive Learning
Our AI-based platform can be set up in as little as 5 days, rapidly learning and creating a range-bounded baseline for each machine’s performance. This adaptive learning process is suitable for monitoring variable speed equipment and capturing rapid changes in the operating conditions of various equipment sets.
Remote Condition Monitoring
We bring the power of Remote Monitoring with IoT & AI to the forefront, eliminating the need for human intervention in routine monitoring processes. This technology ensures continuous equipment monitoring, providing real-time insights into the health and performance of your machinery, even in remote locations.
Case Study: Preventing Catastrophic Failure in Chemical Manufacturing with Predictive Maintenance
A global chemical manufacturer, focused on sustainability and efficiency, sought better visibility into equipment health at a key polymer production facility.
Within six weeks of deploying Nanoprecise’s MachineDoctor™ sensors and Energy-Centric Predictive Maintenance platform, two refrigeration pump motors were flagged for abnormal vibration and energy consumption, one operating with 20% higher power usage than expected! The system’s AI-driven insights triggered five critical fault alerts on a pump motor, highlighting risks of cavitation, rotor bar damage, and vane degradation.
Armed with specific, actionable maintenance recommendations, the plant team was able to intervene proactively and avoid €50,000 equipment replacement and eliminating an estimated €9,422 in annual energy waste!
Applications
Colling Tower Fans
Compressors
High-Pressure Pumps
Agitators
Centrifuge
Compactors
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