Condition monitoring with thermal imaging sensors to enhance reliability

[fusion_builder_container hundred_percent=”no” hundred_percent_height=”no” hundred_percent_height_scroll=”no” hundred_percent_height_center_content=”yes” equal_height_columns=”no” menu_anchor=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” background_color=”” background_image=”” background_position=”center center” background_repeat=”no-repeat” fade=”no” background_parallax=”none” enable_mobile=”no” parallax_speed=”0.3″ video_mp4=”” video_webm=”” video_ogv=”” video_url=”” video_aspect_ratio=”16:9″ video_loop=”yes” video_mute=”yes” video_preview_image=”” border_size=”” border_color=”” border_style=”solid” margin_top=”” margin_bottom=”” padding_top=”” padding_right=”” padding_bottom=”” padding_left=””][fusion_builder_row][fusion_builder_column type=”1_1″ layout=”1_1″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” background_color=”” background_image=”” background_position=”left top” background_repeat=”no-repeat” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” dimension_margin=”” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” last=”no”][fusion_youtube id=”k2vlQuUgaLY” alignment=”” width=”” height=”” autoplay=”false” api_params=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” /][fusion_separator style_type=”none” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” sep_color=”” top_margin=”” bottom_margin=”25px” border_size=”” icon=”” icon_circle=”” icon_circle_color=”” width=”” alignment=”center” /][fusion_text]

Adding predictive measurement modalities like Thermal Imaging to your reliability program allows you to have a proactive rather than reactive response to potential breakdowns, problems that could lead to failures in other equipment down the line.

Remote Monitoring solution with Thermal Imaging sensors can capture Infrared images of your equipment, reduce downtime, optimize labor spend and improve ROI.

During this month’s Best Practices Webinar session, Frederic Baudart, Lead Product Application Specialist at Fluke Corporation, will discuss the Fluke 3550 FC Thermal Imaging Sensor. Attendees will be provided with an understanding of:

– Real-time remote monitoring of heat patterns for improved decision making
– Adding a “Scanning” layer to your tiered proactive maintenance program with remote monitoring thermal imaging sensors
– Versatile, Portable Thermal Imaging sensor which tracks historical trends and thermal conditions to detect and predict faults
– Alarms that are generated when preset limits are exceeded

Original session held on September 13, 2017

[/fusion_text][fusion_separator style_type=”default” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” sep_color=”” top_margin=”” bottom_margin=”” border_size=”” icon=”” icon_circle=”” icon_circle_color=”” width=”” alignment=”center” /][fusion_widget_area name=”avada-custom-sidebar-upcomingwebinar” title_size=”” title_color=”” background_color=”” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” /][/fusion_builder_column][fusion_builder_column type=”1_3″ layout=”1_3″ spacing=”” center_content=”no” link=”” target=”_self” min_height=”” hide_on_mobile=”small-visibility,medium-visibility,large-visibility” class=”” id=”” background_color=”” background_image=”” background_position=”left top” background_repeat=”no-repeat” hover_type=”none” border_size=”0″ border_color=”” border_style=”solid” border_position=”all” padding_top=”” padding_right=”” padding_bottom=”” padding_left=”” dimension_margin=”” animation_type=”” animation_direction=”left” animation_speed=”0.3″ animation_offset=”” last=”no”][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container]