predictive Maintenances new
Predictive maintenance is a technique that uses information analysis tools and techniques to sight anomalies in your operation and attainable defects in instrumentation and processes therefore you'll fix them before they lead to failure. Predictive maintenance, an IoT solution not only increases the health of your machines but it also helps you to remain more focused towards your business, predictive maintenance solution by SenseGiz will take care of your factory’s equipment. The manual process of monitoring the health of machines every 15 to 20 days is eliminated using SenseGiz’s Predictive maintenance solution.
Monitoring-Temperature, vibration of motors, machines, transformers and other industrial assets.
Full life cycle remote Monitoring for predictive maintenance.
Methodology
( Easy to install, Plug and Play devices with remote access on web and mobile through the cloud )
Sensors
Plug and Play, wireless sensors installed on assets monitor real time vibrations.
Cloud
Critical data is transmitted securely to the cloud through our gateway.
Dashboard
Visualize this data anywhere through web and mobile and get real time alerts.
Sensors
Plug and Play, wireless sensors installed on assets monitor real time vibrations.
Cloud
Critical data is transmitted securely to the cloud through our gateway
Dashboard
Visualize this data anywhere through web and mobile and get real time alerts
Benefits
Overall machine performance parameter monitoring.
Machine utilization report and alarm indication if Idle for more than defined time slot.
Cost-effective Data transmission- 4G/LTE, multiple-sim aggregation.
Real time data processing and online Update collection at the central server.
In one second, 4000 vibration readings are generated by the COIN and transmitted to the Cloud Platform for analysis. Fast Fourier Transform (FFT) converts a signal from time domain to a representation in the frequency domain and helps in easy detection of faults in the equipment.
Vibration data can be streamed at regular intervals of time.
Data for all three axis can be seen on the dashboard.
Vibration analytics can be done using FFT on dashboard.
Analytics dashboard for vibration monitoring.
Set upper and lower threshold values.
Get alerted in case the threshold values are crossed.
Analyze historical data to see where frequent problems are taking place.
Motor
Pump
Compressors
Fan
Accelometers
| Parameter | Option-1 | Option-2 |
|---|---|---|
| Vibration sensor | Tri-Axial Accelerometer | Tri-Axial Accelerometer |
| Noise | 180 μg/ÖHz | 75 μg/ÖHz |
| Bandwidth | 1600 Hz | 6300 Hz |
| ODR | 12.5 Hz - 6.66 kHz (selectable odr) | 26.66 kHz(fixed odr) |
| Filters | Single Low Pass Filter | Two low pass filters |
| FIFO samples | 4080(x,y,z=1360) | 1533(x,y,z=511) |
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| Test Items | Test Results | Test Conditions |
|---|---|---|
| Moisture resistance test | After test, no obvious change in appearance, and function was normal. | Temperature varied from 25°C±2K to 65°C±2 K Relative humidity at (93±3)% |
| High temperature test | After test, no obvious change in appearance, and function was normal | High temperature: 60°C Test duration: 96H |
| Low temperature Test | After test, no obvious change in appearance, and function was normal. | Low temperature:-10°C Test time: 96H |
| Heat cycle test | After test, no obvious change in appearance, and function was normal | Temperature rise 60°C 1H Operating 60°C 6H Temperature processing -10°C 2H Operation -10°C 6H Repeated 60H |
| Continuous vibration | After test, no obvious mechanical damage, and function was normal. | Condition A: Amplitude:0.25 mm or less Frequency: 5±1Hz Test direction: X, Y, Z axis Test time: 10min/cycle, 5 cycles/direction Condition B: Acceleration:2.0 m/s2 or less Frequency: 5±1Hz Test direction: X, Y, Z axis Test duration: 10min/cycle, 5 cycles/direction |
| Impact test | After test, no obvious mechanical damage, and function was normal. | Shock pulse: Half-sine Vertical: Acceleration: 5g Pulse duration: 30ms Shock direction: ±Z axis Shock Times: 3 times/direction Horizontal: Acceleration: 15g Pulse duration: 11ms Shock direction: ±X, ±Y axis Shock Times: 3 times/direction |
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