RotationLFTM is a scalable and Sensor agnostic platform that monitors the condition of the machines in real-time, and predicts their Remaining Useful Life. It analyses the complex machine health data, to provide meaningful insights about its performance.


RotationLFTM is a Scalable & Sensor Agnostic AI-based Platform that analyses complex machine health data using a combination of Artificial Intelligence as well as physics-based models to enhance the life of machines. It detects patterns automatically by building a prediction model that identifies when a given equipment and its components are approaching the end of their remaining useful lives (RULs) or risk of failures.


It offers the benefits of anomaly detection, fault diagnosis, mean time to failure prediction and decision support tasks.
The platform analyses data from the machines at regular intervals, to detect any anomalies in the output parameters of the equipment sets.
The dynamic data-driven method detects the specific component that behaves abnormally.
It is also capable of detecting all types of failure modes and estimating remaining useful life (time to failure), thereby providing increased productivity and reduced downtime.
It offers fault characterization and diagnosis along with list of potential root causes, while notifying the maintenance and reliability professionals through SMS and emails.
The automated fault characterization and root cause analysis allows the operation teams to generate potential corrective actions for technicians.

These features provide new capabilities to reliably detect changes in the machine components that can eventually cause issues, even in the aging equipment sets.

Machine Failure Detection

  • RotationLFTM receives data from MachineDoctorTM sensors through an encrypted & secured network. It analyzes the data it receives, using highly sophisticated algorithms, and detects even small changes in the machine, thereby preventing unplanned downtime and increasing the overall efficiency of the manufacturing operations.

  • RotationLFTM correlates RPM to Faults and eliminates 90% of the false negatives on the variable frequency equipment.

  • RotationLFTM is the world’s only software that uses sophisticated CEEMDAN algorithm for early machine failure detection. It differentiates between process upset / variation and actual faults, thereby reducing false positives. It learns the equipment behaviour pattern in as little as 5 days, using a mix of supervised and unsupervised learning, and creates a range bounded baseline for the output parameters. RotationLFTM correlates RPM to Faults and eliminates 90% of the false negatives on the variable frequency equipment.
  • It monitors different parameters of the machines to provide enhanced visibility.

  • RotationLFTM identifies the fault mode by evaluating the complex machine health data using machine learning algorithms, and predicts the remaining useful life of the machine.

  • Machine health can be visualized and reviewed so that focus can be shifted to high priority tasks, reviewing critical machines through timely alerts.

  • It ensures that the maintenance and reliability professionals have visibility on all serious equipment conditions in real-time.

  • It predicts the remaining useful life of any asset at any point during its lifetime, thereby empowering users with the right data at the right time.

Customized Solution for all Operations

The AI-based solution can be customized based on the plant and equipment type. RotationLFTM can be deployed on Private Cloud or On-Premise. This allows for a simple plug & play, hassle-free deployment, without worrying about any extra IT infrastructure. The solution can be customized to meet the individual requirements of the customers and offer increased cybersecurity with AES-256 encryption. It facilitates last mile automation for manufacturers, with its ability to be integrated with leading horizontal and vertical technology stacks, using open APIs. It can also be integrated to desktop computers or mobile devices to create a completely scalable solution for critical industries like chemical, metals, mining, oil and gas, and pharmaceuticals among others.

Why Choose Nanoprecise Sci Corp

Nanoprecise Sci Corp is an automated end-to-end predictive maintenance solution provider that offers real-time predictive information about the genuine health and performance of industrial assets. Nanoprecise specializes in the implementation of Artificial Intelligence and IIoT technology for predictive asset maintenance and condition monitoring.

Nanoprecise works with customers across the world, in diverse sectors, to prevent catastrophic failures, saving time & money.

MachineDoctor™ sensors and RotationLF™ platform from Nanoprecise provides accurate diagnostics to customers across sectors such as cement, steel, and pulp & paper, among others, and helps the maintenance teams identify the potential issues that could cause catastrophic failures. Nanoprecise continues to build trust with customers by allowing the maintenance & reliability teams to identify problems and ensuring that they are getting to the root cause. Reach out to Nanoprecise for wireless condition monitoring services to ensure zero downtime and maximize the efficiency of your machines.


Customised to your Industry Needs


Reducing Downtime in Metal Industry

Our IoT driven Predictive maintenance solution helps to reduce downtime, monitor, collect exchange and analyze data from machines to enhance manufacturing processes of the metal industry.

Scaling Iot in Manufacturing Industry

Machine failure in the mines? No worries.

Our solutions can add immense value to your entire mining supply chain by harnessing the power of Industry 4.0. The asset performance will be optimized, costs and machine downtime can be reduced leading to a boost in ROI.

Predictive Maintenance in Mining Sector

No more unplanned downtime in Cement Industry

Our Industry 4.0 digital solutions can help you tackle the challenges in cement production such as large energy consumption, high costs and complex processes.

Our advanced analytics can simplify complexities and help in real-time decisionmaking. Equipment lifespan and reliability will amplify due to our condition monitoring system.

Predictive Maintenance in Cement Plant

Protect your assets with Zone Approved Solution

Our digitization solutions in industrial equipment maintenance can help oil and gas companies streamline maintenance. Our predictive analytics and conditional data monitoring help anticipate failures, reducing unplanned maintenance and unscheduled downtime.

Predictive Maintenance in Oil & Gas Plant

No more Downtime, Keep your Machines Running in Chemical Plants

Our AI driven analytics can propel your chemical business to new heights of reliability by optimizing asset longevity and impacting top-line growth through proactive identification of upcoming machine failures. IoT driven asset maintenance solutions can provide immense flexibility and agility to production.

Predictive Maintenance in Chemical Plant

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    Frequently Asked Questions

    RotationLF analyses complex machine health data to offer real-time predictive information about the genuine health and performance of industrial assets.

    RotationLF is a Scalable & Sensor Agnostic AI-based Platform that offers the benefits of anomaly detection, fault diagnosis, mean time to failure prediction and decision support tasks. It also notifies maintenance professionals about abnormalities in the equipment sets trough SMS & Emails, and generates potential corrective actions for technicians.

    RotationLF has successfully been implemented in industries such as Cement, Chemical, Metal, Mining, Oil & Gas, Pharmaceutical, Pulp & Paper, and Automobile among others.

    RotationLF works to offer real-time insights on the health and performance of Motors, Pumps, Gearboxes, Compressors, Engines, Fans, Ball Mills, Centrifuges, Mobile Equipments and More!

    RotationLF is able to ingest existing vibration sensor data, thereby leveraging existing investments to move towards advanced automated analytics.