Step 1
System uses acoustics emissions and many other physical parameters of machines collected by our own industrial IoT Edge, maximizing the performance of machines while lowering operating costs by optimizing maintenance and manufacturing processes.
Step 2
The data and results are also uploaded using LAN to NeuronSW nGuard platform. On-site integration can be done via SFTP, or via MQTT.
Step 3
Frequency spectrum analysis allow the user to examine specific faults and find defects based on vibro diagnostic empirical findings. The user can plot the frequency spectrum of the selected time periods to examine specific faults and find defects based on vibro diagnostic empirical findings.
Step 4
Have all machines state from all plants at one dashboard. Utilize easier overview of all past machines states . Whether they are In Maintenance, Broken, sending Alerts or in any yet unknown state.
PROBLEM
The customer is the world's leading manufacturer of wheel rims. Needing to secure continuity of production, the customer decided to monitor their critical assets – the air compressors used for blowing air to the production plant. This included information regarding any anomalies in the compressors.
SOLUTION
The NSW end-to-end solution for anomaly detection to prevent failures was installed. IIoT devices and non-intrusive sensors collect and process sound data, and AI and machine learning algorithms evaluate the processed data from the air compressors and decide if there is any change from the nominal state to report an anomaly.
Benefits
Real-time asset monitoring
Early warnings of failures
Prioritization of assets for inspection
Minimized costs associated with failures
Higher efficiency of employee time
PROBLEM
Escalator mechanical units are stressed beyond the design limits during operation. The customer requires information regarding the status of the units in order to schedule maintenance based on realistic anticipation of problems. A lack of experienced personnel is exacerbating the situation.
SOLUTION
Using their proprietary software/hardware solution, NSW produces utilization reports in real time which enable efficient maintenance scheduling and provide essential operational insights. These include the time of escalator availability and logs of performed maintenance procedures.
Benefits
Remote access to the machines saves time and labor costs
Access to basic machine information such as running / not running
Comprehensible benchmarking of operation and maintenance
Effectiveness across sites
developed by Neuron Soundware provides expertise monitoring and control of machines, processes, and predictive maintenance in various industrial applications.
System uses acoustics emissions and many other physical parameters of machines collected by our own industrial IoT Edge, maximizing the performance of machines while lowering operating costs by optimizing maintenance and manufacturing processes.
The algorithms analyze various physical parameters of your machinery, such as sound, temperature, pressure, electric current, magnetic field, luminescence, permeability, irradiance, and many others, to provide information about the current health and behaviour of individual machines, and processes.