The company IM&P GmbH is specialized in the development and marketing of innovative software solutions. All necessary algorithms are based on many years of research work of Prof. Dr. Michael Schulz (Founder & CEO).

1. Intelligent Monitoring & Prognostics GmbH
Weinbergweg 23 info@imprognostics.com
06120 Halle (Saale) www.imprognostics.com
Company profile:
What if you were able to forecast damage events long before they occur, or you would know
when maintenance should really be performed?
What if you would be able to control and monitor maintenance cost, downtime and inventory
long-term?
INDALYZ MONITORING & PROGNOSTICS (IM&P) GmbH is a software company
implementing innovative and customized predictive maintenance software for industrial
plants, machineries and vehicles.
Our forecasting software product is based on an intelligently combined self-learning
algorithms. Based on historic and current sensor data of individual components our
software predicts future signs of wear and damaging events of technical assets.
Our data-driven forecasting technology uses the advantages of fleet learning as well as
individual component-related detailed analysis. The information obtained about the
future asset status allows an optimized maintenance planning and contributes to a
reduction of severe damaging events and consequently a reduction in maintenance and
operating costs.
Our predictive maintenance software solution contributes to:
• a minimization of downtimes
• a sustainable reduction of maintenance and operating costs
• an increase of plant availability
• a further optimization of personnel and material management
Taken all advantages together, companies are able to increase their profitability as well
as competitiveness.
Our software product consists of two parts:
the multifunctional core software that handles the actual prognostic calculation
and the customized peripheral software processing engineering know-how and
manufacturer-specific as well as location data.
Handling of sensor-based input data and the calculation of prediction results is done by
an integrated database. Our customers can access all relevant information about the
current and future asset status via a user-oriented graphical interface.
The Predictive Maintenance Software Solution and the algorithms used here are based
on Prof. Dr. Michael Schulz's long-term research work and has been made ready for the
market as well as successfully tested already.

2. Intelligent Monitoring & Prognostics GmbH
Weinbergweg 23 info@imprognostics.com
06120 Halle (Saale) www.imprognostics.com
Our forecasting software product is customized applicable in many fields:
• wind energy turbines,
• power plants,
• production facilities
• paper machines and presses
• railed vehicles
• engines and gears
• steel factories
• special vehicles
• cable cars
• conveyor etc.
and has been practically tested already for 800 wind energy turbines over three years.
In addition, there are already project outlines applying our software product in small and
medium-sized hydropower plants, various engines types, combined heat and power
stations as well as in pumping and piping systems of the gas and oil industry.
Conclusion:
The productivity of industrial plants, machineries and vehicles are largely determined by
their availability. So far, this is guaranteed mainly by Condition Monitoring Systems
(CMS). Once that asset reaches a critical state, the CMS recommends an emergency
shutdown or a change in the operating regime.
Supported by intelligent sensor systems and advanced networking technologies, our
forecasting software is able to predict long-term the future wear behaviour and also
damaging events of technical equipment’s, machines and vehicles. As a result,
maintenance works can be optimally planned long before a critical machine condition
occurs (Predictive Maintenance) and unexpected shutdowns can be reduced to a
minimum.
Interested? Contact us!
Mr. Sven Czekalla – Head of Sales & Marketing
e. sven.czekalla@imprognostics.com
t. + 49 345 27 95 56 11
www.imprognostics.com