As a part of a wholistic Asset Management Strategy, machine health (condition) monitoring is a method of gathering data about assets to evaluate their state of health and continued ability to perform their operational functions as required.

Prediction with Precision…

Nanoprecise sci corp

Nanoprecise was founded with a strong vision of creating an end to end condition monitoring & predictive maintenance solution for any industry. RotationLF solution not only detects any anomaly in the system but also predicts mechanical faults related to unbalance, misalignment, looseness, bearing failure and gearbox failure. Furthermore, by using the fault characteristics frequency of equipment our solution can provide the remaining useful life of the equipment.

Spin Doctors Reliability Solutions Inc. is a proud distributor of Nanoprecise technology solutions.

 
 
 

Nanoprecise RotationLF MachineDoctor

A quick overview of Nanoprecise's completely automated predictive and prescriptive maintenance solution, which comprises of a IoT based hardware called Machine Doctor and artificial intelligence powered platform called RotationLF. It helps achieve three objectives for any industrial machinery:

  1. Automated Anomaly detection

  2. Automated fault diagnosis

  3. Automated Remaining Time to Failure Prediction

 

Simplified Flow Diagram

 
Mount sensor on rotating & static equipment or piping

Mount sensor on rotating & static equipment or piping

 

Easy mounting of sensor on monitored equipment.

 
 

Upon automatic connection to a wireless network, the sensors complete a learning phase and begin to monitor six different parameters for anomalies using edge computing.

Early stage fault detection and notification

Early stage fault detection and notification

 
Sensor data is sent securely to the cloud

Sensor data is sent securely to the cloud

 

If an irregular event is detected, data is uploaded securely to the Nanoprecise cloud, where it is analyzed using patented techniques to match equipment faults.  If no events occur, data is uploaded in scheduled intervals.

 
 

Data is analyzed using advanced machine learning algorithms and error-proofed by correlating several parameters, producing an accurate prediction on remaining time to failure.

Patented signal processing techniques used for advanced analysis

Patented signal processing techniques used for advanced analysis

 
Access RotationLF platform from anywhere to gain insights

Access RotationLF platform from anywhere to gain insights

 

Log into the RotationLF platform/ dashboard from anywhere in the world to get in-depth insight of the specific equipment faults, AI generated analysis, to aid in the reliability improvement processes.

 
 

Alerts are sent out with a summary of the findings, calculated remaining useful life %, and recommended actions.  Response personnel are equipped with knowledge to take effective actions and avoid significant costs associated with equipment downtime, production loss, increased maintenance, and safety & environmental incidents.

Immediate notification of faults

Immediate notification of faults

 

Rotationlf platform

Nanoprecise has created a unique patented solution (hardware + software) called “RotationLF” that combines physics, material science, and data analytics to diagnose issues with physical assets such as machinery and predicts the “Remaining Time to Failure.” MachineDoctor sensors extract RPM, vibration, sound, temperature, humidity, and magnetic flux information all from one sensor. RotationLF software is built on Al algorithms that were only limited to research papers until now and has been proven to be really accurate with solid customer case studies.

RotationLF platform is sensor-agnostic, meaning it can take data from any data silo and can also dump results to any destination.

 

The Software

Our software is a hybrid between edge and cloud computing. The sensor has an inbuilt FFT processing capability to diagnose mechanical failures such as shaft unbalance, misalignment, looseness, and inner race, outer race, cage and ball bearing failures along with gear failures. Furthermore, the data is transferred to our AWS Cloud where data is processed, plotted and stored. Nanoprecise uses very complex Artificial Intelligence algorithm for signal decomposition on our cloud for predictive analytics. Furthermore, as we utilize the Amazon Web Services for our cloud computing, we can implement scalable architecture to support growing business needs. Our online portal allows the customer to login with their credentials to the dashboard where they can access all the data and graphs on a real time basis. Furthermore, this data can be downloaded in pdf and csv format for in house analytics.

Whatever it is, the way you tell your story online can make all the difference.
 
Whatever it is, the way you tell your story online can make all the difference.
 

The MachineDoctor™ 6-in-1 Sensor

The housing is IP68 Certified dust and waterproof. Optionally, an air vent can be installed for air flow, which helps in maintaining the inside temperature and allows the sensor to monitor the humidity and protect the circuit board. Furthermore, the housing has a strong magnet installed at the bottom which allows easy mounting.

The sensor created by Nanoprecise is the only sensor in the world that can sense six different variables through one sensor. In addition to traditional vibration and temperature, MachineDoctor correlates RPM and acoustics to get deeper machine fault insights, with high accuracy, and less false positive alerts.

Contact us.

Email: info@spindoctorsreliability.com
Phone: +1 (780) 231-4663

St. Albert, Alberta, Canada