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)

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~50±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~50±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

SenseGiz

Methodology

( Easy to install, Plug and Play devices with remote access on web and mobile through the cloud )

Sensors

Cloud

Dashboard

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

Request for demo

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