LIMAN DIAGNOSTICS
Passer intelligent diagnostic Systems
Intelligent diagnostic systems "Passer" operate on the basis of data collection devices:
- Passer-T (current data)
- Passer-V (vibration data)
The system software consists of several blocks:
- LimanISU-Monitor - collection of vibration, electricity, temperature and other data for monitoring them. In addition, LimanISU collects data on equipment loading, operating modes, etc.
- LimanISU-Diagnostics - diagnostics of equipment based on data collected by LimanISU. Defect detection and predictive diagnostics of equipment: electric motors, gearboxes, pumps, etc.
- IIoT-Atlas platform - enabling additional functionality: MRO, time tracking, economic indicators.
Passer -T + LimanISU-Monitor
Passer-T + Limanis-Diagnostics
"Passer-T" + SCADA (Modbus TCP)
Diagnostic parameters
Defects
Additional
Current
Quality indicators
electricity generation
electricity generation
Quality indicators
electricity generation
electricity generation
Current
Current
Voltage
Voltage
Voltage
Harmonics of current and voltage; Phase shifts of current and voltage; Frequency deviations; Non-Sinusoidality; Active, reactive, full power.
SCR; Amplitude; Span; Frequency; Spectrum; Raw Signal.
Harmonics of current and voltage; Phase shifts of current and voltage; Frequency deviations; Non-Sinusoidality; Active, reactive, full power.
SCR; Amplitude; Span; Frequency; Spectrum; Raw Signal.
SCR; Amplitude; Span; Frequency;
Rotation speed
SCR; Amplitude; Span; Frequency; Spectrum; Raw Signal.
SCR; Amplitude; Span; Frequency; Spectrum; Raw Signal.
SCR; Amplitude; Span; Frequency;
more than 50 diagnostic frequencies in current and voltage envelope spectra and spectra
Phase misalignment; High or low voltage/current; Frequency deviation; Phase shift; non-sinusoidality;
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Defects of the stator, rotor and bearings; Defect of the rotor cage; Breakage of the rotor rod; Rotor defects; Air gap eccentricity; Inter-turn short circuits in the stator winding; Bearing wear; Rolling bearing defects; Unbalance.
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Defects of the stator, rotor and bearings; Defect of the rotor cage; Breakage of the rotor rod; Rotor defects; Air gap eccentricity; Inter-turn short circuits in the stator winding; Bearing wear; Rolling bearing defects; Unbalance.
Phase misalignment; High or low voltage/current; Frequency deviation; Phase shift; non-sinusoidality.
Loading; Operating time; EE consumption; Transients.
Phase misalignment; High or low voltage/current; Frequency deviation.
Loading; Operating time; EE consumption; Transients.
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Tools for signal and spectrum analysis.
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Tools for signal and spectrum analysis.
Measured parameters
Possibilities of intelligent diagnostics systems "Passer"
Current diagnostics
Based on the Passer-T data acquisition device
Description of the installation and operating principle
Contactless current transformers\are installed on the cable power line of the electric motor, for each phase.
Contactless current transformers\are installed on the cable power line of the electric motor, for each phase.
Data received from sensors is processed on the data acquisition and processing device and transmitted to the top-level system (via LIMANISU-Monitor or other systems).
The Passer-T data acquisition device provides measurement and analog-to-digital conversion of current and voltage signals.
Analog current and voltage signals can be measured directly by the Passer-T data acquisition device, or connected to the power supply via measuring transformers (or current and voltage sensors).
Analog current and voltage signals can be measured directly by the Passer-T data acquisition device, or connected to the power supply via measuring transformers (or current and voltage sensors).
Signature analysis according to GOST
Signature analysis is a diagnostic method based on obtaining data from current transformers installed on motor power cables.
The principles of such diagnostics are described in GOST 20958-2015 (Condition monitoring and diagnostics of machines, Signature analysis of electrical signals of a three-phase asynchronous motor).
Power supply quality assessment
Determination of the spectral components of the current that are a consequence of imperfections of the electrical system.
Analysis of the current spectrum for the presence of harmonic and interharmonic components.
Minimization of energy consumption costs
Cost optimization through timely identification of low efficiency and points of excessive energy consumption.
Avoid potentially dangerous conditions, such as overloads or short circuits, which reduces maintenance and repair costs.
Application for the pilot project "Passer-T" at your enterprise
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We offer you a test drive of the Passer equipment diagnostics system
- We will send a set of equipment for collecting data from the electric motor and a hardware gateway for transmitting data to the LIMANISU server;
- Remotely configure the Limanis software;
- We will collect data on engine operation within a month (with providing you with access to the LIMANISU-Monitor monitoring software);
- We will provide a report on the technical condition of the equipment based on the collected data;
- We will discuss together your impressions about using the Passer equipment diagnostics system.
Vibration diagnostics
Based on the Passer-V data acquisition device
Description of the installation and operating principle
Vibration sensors are installed on the housing of the electric motor or the equipment driven by it (pump, gearbox, fan, etc.).
Vibration sensors are installed on the housing of the electric motor or the equipment driven by it (pump, gearbox, fan, etc.).
Data received from sensors is processed on the data acquisition and processing device and transmitted to the top-level system (via LIMANISU-Monitor or other systems).
Passer-V data acquisition devices provide measurement and analog-to-digital conversion of vibration signals. Accelerometers of the ICP standard or eddy current relative vibration sensors can be used as vibration sensors.
Economic impact
- Timely fault detection;
- Prevent unplanned downtime;
- Optimization of MRO planning;
- Reduce the cost of storing spare parts.
Safety
- Monitoring and evaluation of equipment condition in accordance with GOST ISO 10816;
- Reduce the risk of failures and accidents;
- Prevent subsequent damage.
Environmental protection
- Increase the service life of the equipment;
- Reducing the amount of energy consumed.
Would you like to try out our VIBRATION diagnostic system?
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Serverless diagnostics
Based on PASSER data acquisition devices
Description of the operating principle
Processing of data collected by the Passer-V and Passer-T devices with an assessment of the equipment condition in accordance with GOST, as well as defect diagnostics and predictive analysis are performed on the Passer-Nidus device without connecting to the server.
Analytics data, events, and warnings are displayed in the web interface, with the ability to connect from any device, and can also be sent via SMS, emails and messages to instant messengers.
It is possible to diagnose equipment "on demand", when a mobile monitoring and diagnostics system is installed on an already working system to determine the condition of the equipment.
Processing of data collected by the Passer-V and Passer-T devices with an assessment of the equipment condition in accordance with GOST, as well as defect diagnostics and predictive analysis are performed on the Passer-Nidus device without connecting to the server.
Analytics data, events, and warnings are displayed in the web interface, with the ability to connect from any device, and can also be sent via SMS, emails and messages to instant messengers.
It is possible to diagnose equipment "on demand", when a mobile monitoring and diagnostics system is installed on an already working system to determine the condition of the equipment.
One of the advantages of the approach is that the solution is autonomous.
The system is currently in pilot operation. Planned launch of the product in the 4th quarter of 2023.
The system is currently in pilot operation. Planned launch of the product in the 4th quarter of 2023.
Would you like to try out our SERVERLESS diagnostic system?
Leave your email address and we will get back to you
By clicking on the button, you consent to the processing of personal data and agree to our privacy policy
Predictive diagnostics
Based on the data provided
Description of the operating principle
The customer provides access to data collected using a SCADA system, portable devices, or stationary diagnostic systems.
Based on data analysis, predictive models are built that describe the behavior of most types of technological equipment, which makes it possible to predict the appearance of certain equipment defects in the future.
The result of this work is a custom-designed predictive diagnostic system for patients.
The customer provides access to data collected using a SCADA system, portable devices, or stationary diagnostic systems.
Based on data analysis, predictive models are built that describe the behavior of most types of technological equipment, which makes it possible to predict the appearance of certain equipment defects in the future.
The result of this work is a custom-designed predictive diagnostic system for patients.
The use of artificial intelligence(AI) systems with an active learning function makes it possible to increase the accuracy of determining potential breakdowns and predicting equipment failure to values significantly higher than those specified in GOST.