| |
| Speed
Controller Selection |
| Precise
Temperature Control of the Environment |
| Active
Fan Speed Control |
| Reduction
in Power Consumption |
| Reduction
in Acoustic Noise and Vibration |
| Speed
Control of Fans from different vendors |
| Failure
Detection and Reporting |
| Failure
Prediction |
| Fan
Failure Prediction |
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|
|
or
Power Rating 200 ft/min/Still Air
|
Input
Voltage Range
|
Special
Features
|
Model Click
On
Name To Go To Product Page
|
|
AC
|
3.5/2.0 Amps
|
95
- 270
|
Three
control temperatures, selectable by shunt.
|
|
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AC
|
3.5/2.0 Amps
|
95
- 270
|
Senses
power line frequency and automatically sets output.
Three control temperatures, selectable by shunt. Includes
temperature alarm.
|
|
|
AC
|
6.0/3.0
Amps
|
95
- 270
|
Includes
temperature alarm.
|
|
|
AC
|
8.0
Amps
|
95
- 270
|
Accepts
voltage or current loop control signal to proportionally
control fan as well as turn the fan off.
|
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|
AC
|
8.0
Amps
|
95
- 270
|
An
enhanced AC-V for HVAC applications.
|
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|
DC
|
20
Watts
|
11.5
- 28
|
Control
and sensor in probe package. Linear type.
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DC
|
38/20
Watts
|
11.5
- 28
|
Includes
temperature alarm. Linear type.
|
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|
DC
|
5.0/4.0
Amps
|
10
- 58
|
Includes
temperature alarm. Three control temperatures, selectable
by shunt. Switching type.
|
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|
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| Thermal environment
control of electronics enclosures is realized through varying
airflow through the enclosure and measuring temperature and/or
airflow at different locations as feedback. Operating the fans
at the minimum necessary speed to achieve the required thermal
conditions reduces power consumption, vibrations and noise and
increases life of the fans. Performance of the fans are constantly
monitored such that a failure can be detected immediately. TMC
can even predict failure so that a scheduled maintenance can
be performed. |
| |
| Precise
Temperature Control of the Environment: |
| |
| The temperature
is the primary control parameter. The customer can specify any
temperature control curve and the controller will precisely
follow this to 0.2 °C |
| |
| Active
Fan Speed Control: |
| |
| The fans are actively
controlled by the microprocessor based controller to stay well
within 0.5% of each other or near synchronization. The fan speeds
are determined to achieve the required thermal operating point.
|
| |
| Reduction
in Power Consumption: |
| |
| Operating the fans
at the minimum necessary speed to achieve required thermal conditions
takes the least amount of power. Reduction of up to 60% is possible. |
| |
| Reduction
in Acoustic Noise and Vibration: |
| |
| The blade noise
from fans increases with fan speed. Optimizing fan speed reduces
the acoustic noise and the motor vibration. The vibration can
lead to failure in connector and IC socket contacts. Beat Noise
and Vibration are the low frequency variations caused by the
difference in frequency of revolution of the fans. Controlling
the rotational speeds to a point of synchronization reduces
beat noise and vibration. |
| |
| Speed
Control of Fans from different vendors: |
| |
| Fans from different
manufacturers can be controlled to operate together at the same
RPM giving a wider choice to the customer. |
| |
| Failure
Detection and Reporting: |
| |
| Since the controller
is actively monitoring the fans and measuring thermal parameters,
a failure in a fan or air filter can be detected and reported
immediately. |
| |
| Failure
Prediction: |
| |
| Computer systems
and telecommunications equipment that are used for critical
applications are expected to perform with no down time. A failed
fan or filter can cause a system failure. The only way to avoid
such down time is to have scheduled changes in fans and filters.
Identifying the faulty fans that can fail in the near future
and changing only them leads to maximum usage of each fan without
causing system failure. An emergency maintenance visit by a
technician once the system fails costs a lot more than a scheduled
visit. |
| |
| Fan
Failure Prediction: |
| |
|
The controller
is continuously monitoring the fans. Therefore it can track
the performance of a fan over its life time and detect any
change in its performance. The performance trend is used to
predict a failure. An alarm is generated such that there is
enough time to perform a scheduled maintenance.
Filter Failure
Detection: Similar to fan failure prediction, the TMC can
monitor filter performance continuously. An alarm is generated
when the filter performance falls below a limit.
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