{"id":38019,"date":"2023-10-16T08:25:25","date_gmt":"2023-10-16T07:25:25","guid":{"rendered":"https:\/\/lcm-content.web-email.at\/?page_id=38019"},"modified":"2024-09-02T08:12:05","modified_gmt":"2024-09-02T07:12:05","slug":"condition-monitoring-2","status":"publish","type":"page","link":"https:\/\/lcm-content.web-email.at\/en\/condition-monitoring-2\/","title":{"rendered":"Condition Monitoring"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” custom_padding_last_edited=”on|desktop” admin_label=”Sektion” _builder_version=”4.10.4″ background_enable_image=”off” max_height=”500px” custom_padding_tablet=”50px|0|50px|0″ custom_padding_phone=”” transparent_background=”off” padding_mobile=”off” make_fullwidth=”off” use_custom_width=”off” width_unit=”on” locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_fullwidth_image src=”https:\/\/lcm-content.web-email.at\/wp-content\/uploads\/2023\/08\/Unbenannt-1.png” title_text=”Unbenannt-1″ admin_label=”Header-Bild” _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”EINLEITUNG” _builder_version=”4.10.4″ _module_preset=”default” background_color=”#FFFFFF” custom_padding=”||10px|||” locked=”off” collapsed=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_4,1_2,1_4″ _builder_version=”4.10.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text disabled_on=”on||” admin_label=”Condition Monitoring – Introduction” _builder_version=”4.10.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”justified” custom_margin=”|-35px||-35px||” z_index_tablet=”500″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” use_border_color=”off” locked=”off” global_colors_info=”{}”]

Condition Monitoring & ­Predictive Maintenance<\/H1><\/p>\n

With smart components for data-based condition analyses and AI-supported fault detection, we accompany the development and integration of flexible and practical condition monitoring systems as an R&D service provider.<\/p>\n

The reliable condition monitoring and early fault detection of machines and plants is associated with many challenges. As an expert in condition monitoring and predictive maintenance, we support plant operators with technological know-how, solution-oriented concepts and needs-based measures.<\/p>\n

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Downloads<\/h3>\n

Infosheet “Condition Monitoring”<\/a>
\nWhite Paper “Condition Monitoring”<\/a>\n<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ disabled_on=”on|on|on” _builder_version=”4.10.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” disabled=”on” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.10.4″ _module_preset=”default” width=”100%” custom_margin=”|||-33px|false|false” custom_padding=”|0px||0px|false|false” global_colors_info=”{}”]<\/p>\n

Infoblatt<\/h3>\n

Infoblatt “Condition Monitoring” [pdf]<\/a>[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.10.4″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”||||false|false” global_colors_info=”{}”] <\/p>\n

White Paper<\/h3>\n

White Paper “Condition Monitoring” [pdf]<\/a><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.0.47″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Von der Idee bis zum Produkt” module_id=”DL_uebersicht” _builder_version=”4.10.4″ _module_preset=”default” background_color=”#d8d9da” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_3,1_3,1_3″ admin_label=”Bullet points 1″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Definition of Requirements” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” border_color_all=”rgba(0,0,0,0.5)” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}”]<\/p>\n

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Requirements definition<\/h4>\n<\/div>\n

Together with our customers, we define the specific requirements for a condition monitoring system based on their concrete problem.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”feasibility analysis” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” border_color_all=”rgba(0,0,0,0.5)” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}”]<\/p>\n

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Feasibility Analysis<\/h4>\n<\/div>\n

For us, the basis of a project is a feasibility analysis. Together with the customer, we evaluate the status quo, create a catalog of faults and define the expected added value of an optimized condition monitoring system.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Implementation Plan” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” border_color_all=”rgba(0,0,0,0.5)” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}”]<\/p>\n

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Implementation Plan<\/h4>\n<\/div>\n

Based on this analysis, we develop a concept with an individual implementation plan that includes all necessary measures. In the course of the project, the key milestones are evaluated and the further course of action is adjusted, if necessary, on the basis of the insights gained.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ admin_label=”Bullet points 2″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Data Acq. System” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” border_color_all=”rgba(0,0,0,0.5)” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}”]<\/p>\n

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Data Acquisition System<\/h4>\n<\/div>\n

\nThe start of the implementation phase is usually made with an initial data recording using laboratory measuring equipment. Using standard sensors and laboratory equipment, we thus create a basis for sounding out the real chances of success of the project with little time expenditure and without high investments. Based on this, we subsequently develop specific algorithms as well as missing hardware components (e.g. additional sensors).\n<\/p>\n

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Algorithm Development<\/h4>\n<\/div>\n

The next step is already regarding product pre-development. For this purpose, we produce product-like functional prototypes, which are subsequently tested (e.g. on test benches or on a pilot plant). The algorithms used are optimized on the basis of the data obtained.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Prototype” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” border_color_all=”rgba(0,0,0,0.5)” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}”]<\/p>\n

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Prototype<\/h4>\n<\/div>\n

\nIf these test results meet the expectations, in the final project phase, we initiate the industrialization process and accompany our customers in finding the right industrialization partner for the certification and sustainable realization of the final product.\n<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Condition Monitoring \u2013 Wozu?” module_id=”TS_uebersicht” _builder_version=”4.10.4″ _module_preset=”default” background_color=”#FFFFFF” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_5,3_5,1_5″ admin_label=”Line” _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_5″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Condition Monitoring \u2013 What for?” _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Condition Monitoring & Predictive Maintenance \u2013 What for?<\/h2>\n

Business managers in the plant support sector are aware that breakdowns and machine failures can be costly – in fact, unforeseen machine failures cost the industry millions each year.
\nThere are two main approaches to addressing these issues: Establishing fixed maintenance cycles and proactively preventing production downtime. However, both strategies bring their own challenges and weaknesses that can be offset by adequate condition monitoring.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Reduce costs” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” global_colors_info=”{}”]<\/p>\n

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Reduce costs<\/h3>\n<\/div>\n

Condition monitoring enables the condition of machines and plants to be monitored by using intelligent sensor systems and suitable analysis methods. Anomalies and deviations can be detected by continuous data acquisition during operation and comparison of the recorded ACTUAL conditions with the TARGET values of the machine.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”increase planning reliability” module_class=”descriptionIconText” _builder_version=”4.10.4″ background_color=”#FFFFFF” z_index_tablet=”500″ border_radii=”|0px|0px|0px|0px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” locked=”off” global_colors_info=”{}”]<\/p>\n

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Increase planning reliability<\/h3>\n<\/div>\n

Condition monitoring and predictive maintenance enables the creation of forecasts for necessary maintenance measures. By identifying potential problems in good time, they can be rectified before they lead to serious disruptions.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Success Factors in Condition Monitoring” module_id=”Overview” _builder_version=”4.10.4″ _module_preset=”default” background_color=”#d8d9da” locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_5,3_5,1_5″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_5″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”\u00dcberschrift und Text: Success Factors in Condition Monitoring” _builder_version=”4.10.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Success Factors in Condition Monitoring<\/h2>\n

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Simulation-based engineering is a key success factor when designing a system for early fault detection. With the help of a physically motivated simulation model, not only can the process itself be optimized – the model also makes it possible to simulate various fault situations and thus provides training data for a future condition monitoring system at an early stage and without additional measurement effort.<\/p>\n

<\/b><\/p>\n

Advantages of Simulation-based Engineering<\/b><\/p>\n

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