Overview & Features of the S200
The S200 Condition Monitoring System measures the voltage and current drawn by your equipment’s motor to identify a wide range of specific failure modes and assess the equipment’s condition.
It also measures energy consumption and identifies a range of energy wasting parameters, allowing you to take cost-justified action to reduce energy consumption.
Compact & accessible
The S200 is a compact unit (approximately 100mm x 80mm x 75mm) designed tobe installed either inside your motor starter cabinet or in an adjacent electrical compartment or cabinet.
Convenient, remote, uninterrupted monitoring
The S200 gives you a continuous assessment of the condition of your equipment, allowing you to keep a close eye on critical equipment and avoid unnecessary maintenance work and breakdowns.
It can help you plan and schedule work efficiently while optimizing the energy consumption on your equipment.
Convenient Mounting & Assessment
The unit comes with Current Transformers to measure the current drawn by the motor, which can be mounted either directly on the feeds to the motor, or on the secondary signal cables from existing CTs feeding the motor protection system where fitted. Each unit has its own local processing unit and local database, which communicates via Ethernet to a central database, allowing you to view the status of
the equipment remotely.
Available Outputs
- Give an overview of the condition of one or all of your assets
- Overviews of condition of all assets (tree structure and summary).
- Overview of condition of individual asset – showing status of each relevant fault category for this type of equipment, and the quality of the electricity supply.
- Simple traffic light (Green-Amber-Red) assessment of equipment condition now, 1 month in future and 3 months in future.
- Trend plots for each developing fault, and for each available parameter (example: active power consumption, or supply frequency).
- Time-domain plots of actual voltage and current waveforms.
- Frequency domain plots of the fault energy spectrum, with automatic identification and labelling of significant peaks in the spectrum.
Reporting
The outputs from each unit are viewed via the B20 software system, pulling data from all of your S200 units and allowing you to view them in one place.
The system will:
- Give an overview of the condition of one or all of your assets
- Provide alerts if faults are detected
- Provide trend graphs showing the progress of deterioration
- Give an overview of the condition of the equipment itself and the electricity supply
- Provide a forecast of the overall condition for one month and three months into the future
- For each fault identified, provide information on the nature of the fault, how and why the system has identified it, the likely impact of the fault, and the recommended corrective action
Documents
Download our brochure to read more about Hayward Tyler Condition Monitoring:
Easy, convenient monitoring of the health of your pumps and motors
Watch the video to learn more about how our Switchroom Mounted Condition Monitoring System works, and how it can help you assess the health of your equipment and avoid unnecessary maintenance and breakdowns:
The S200 Series: Faults Identified
- Avoid unnecessary maintenance work
- Avoid unexpected breakdowns by spotting developing
problems before they become critical - Minimize energy wastage and quantify the benefits using
the energy wastage figures - Create a baseline profile of new equipment at a factory
- Perform acceptance and commissioning testing on
equipment to confirm no damage has occurred during
delivery and installation - Monitor the condition of otherwise inaccessible equipment,
such as submerged pumps, borehole pumps, in-tank
pumps, cryogenic pumps, roof mounted fans, etc.
Product Details
Hover over the numbers for details about each feature.
Save money with a predictive
maintenance strategy.
A conservative preventative maintenance strategy results in a high cost of maintenance and low cost of failure, while a reactive strategy results in a low cost of maintenance, but a high cost of failure. Our predictive approach reveals the optimal maintenance time to help maximize availability without performing unnecessary maintenance.
