Machine condition monitoring system Predict-Adapt

powerrotary machinefor predictive maintenance

Product overview
Predict-Adapt is a predictive maintenance solution designed for electric rotating machines. It is simple to install and operate and increases machine availability by detecting early signs of failure sufficiently in advance to allow reaction and resource mobilisation.

Context and impacts addressed
Unexpected stops of alternators and electric motors have a major impact for operators: loss of production or service, high repair costs, and potential danger to people.

Key benefits

• Avoid unexpected machine stoppages
• Shorten the duration of planned downtime
• Avoid unnecessary maintenance actions

Advantages of Eco-Adapt's electrical signal analysis approach

• Monitoring of the entire power chain: from the electric motor to the load, including transmission
• Detection and identification of the early stages of mechanical and electrical faults
• Operation and monitoring even in constrained environments (examples cited: submerged pumps, ATEX environments, noisy environments)

Solution characteristics
Predict-Adapt is non-intrusive. Installation is fast (reported: in 30 minutes inside the electrical cabinet) and can be performed without locking out the machine. The system is designed for reliable long-term operation with no false positives and no battery replacement.

Measurement hardware
The Predict-Adapt enclosures use kits of split current transformers or Rogowski coil kits for current measurement. Example images associated with the product show DAQ unit and current transformer / Rogowski accessories.

Data handling and communications
Data processing and computations can be performed locally (described as "advanced computing"). Data transmission options include wired transmission (Modbus) or wireless transmission to the Eco-Adapt Power-Cloud platform, or to an existing platform via an API.

Predictive maintenance platform
Power-Cloud allows users to visualise and analyse data from Predict-Adapt sensors. It supports monitoring the evolution of health scores for electric rotating machines to identify early failure indicators, and enables detailed analysis of machine operating points, power supply conditions, and possible operating faults.

Logistics remark
The site states products are stored and shipped within 24 hours of receiving the order.

Caractéristiques / spécifications techniques

• Commercial name / model: Predict-Adapt
• Type: Predictive maintenance solution for electric rotating machines
• Installation: non-intrusive; typical installation time reported as 30 minutes in the electrical cabinet; no machine lockout required
• Measurement sensors: split (opening) current transformers or Rogowski toroid kits for current measurement
• Scope of monitoring: entire power chain (motor → transmission → load)
• Fault detection: detection and identification of incipient mechanical and electrical faults
• Operation environments: suitable for constrained environments (examples: submerged pumps, ATEX zones, noisy sites)
• Data processing: local processing and calculations ("advanced computing")
• Data transmission: wired (Modbus) or wireless to Power-Cloud or to existing platform via API
• Reliability: designed for long-term reliable operation with no false positives; no battery replacement required
• Platform: Power-Cloud for visualization, health score monitoring and detailed analysis of machine operating points