MachineSense choses Siemens MindSphere for its predictive maintenance and data analytics offerings


Wednesday, May 9, 2018 10:58 am EDT



Technology company MachineSense has chosen MindSphere, the cloud-based, open Internet of Things (IoT) operating system from Siemens, for its predictive maintenance and analytics for industrial machinery, components and infrastructure systems including pumps, compressors, and electrical supply. MachineSense’s research revealed that unplanned machine downtime is more costly than ever for machine builders. They utilize MindSphere to analyze electrical component performance and predict when maintenance is needed before a component breaks down. Preventing unplanned downtime helps their customers reduce costly repairs and unplanned downtime.  

Baltimore-based MachineSense was founded in 2014. With its 40 employees, it serves more than 70 customers from various industries like plastics, pharmaceuticals and health care, automotive, commercial buildings, and other. The company’s offerings include energy analytics and bearing fault detection. MachineSense technology arrives either pre-installed with equipment or can easily be retrofitted in 30 minutes or less.

By using MindSphere, MachineSense was able to appeal to a broader range of clients. Their target client base is often manufacturing / processing plants - a core customer base of Siemens. The original equipment manufacturers (OEMs’) programmable logic controller’s (PLC) data is integrated into the MindSphere platform to complement available IoT sensor technology and solutions. Together, they represent an ecosystem of hardware and software solutions that enable OEMs to gain insights into the vast data that they already possess.

MachineSense provides its clients with ‘machine wearables’ – sensors that are placed on recently serviced machines at a customer site. Data hubs are placed within 30 feet of the wearables and are connected to the customer wi-fi network. Through the customer router, the data goes to MindSphere where analytic and trend tools track and interpret machine operating conditions. Thanks to the MindSphere apps and visualization options, it is easy for any machine builder to read the trend charts and continuously track the condition of their equipment. Additionally, account users can elect to receive alerts regarding the status of their machines via email or text messages.

With MindSphere, developers and software engineers can choose to use MindApps or they can create their own apps on the open IoT platform. MachineSense leads the way with its Power Analyzer MindApp – a software product created for use with MindSphere that provides power quality analytics, predictive analytics, advanced power meter, and machine utilization analysis. In its first release, MachineSense will be offering a standard MindApp, and in Q3, a fully customized Power Analyzer MindApp will be available for users and third-party integrators. 

MindSphere, the cloud-based, open IoT operating system from Siemens enables companies of all sizes to link their machines and physical infrastructures to the digital world easily, quickly, and economically. They can harness big data from virtually any number of intelligent connected devices to analyze and uncover transformational insights, enhance their offerings, and launch new business models.


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Siemens Corporation is a U.S. subsidiary of Siemens AG, a global powerhouse focusing on the areas of electrification, automation and digitalization. One of the world’s largest producers of energy-efficient, resource-saving technologies, Siemens is a leading supplier of systems for power generation and transmission as well as medical diagnosis. With approximately 372,000 employees in 190 countries, Siemens reported worldwide revenue of $92.0 billion in fiscal 2017. Siemens in the USA reported revenue of $23.3 billion, including $5.0 billion in exports, and employs approximately 50,000 people throughout all 50 states and Puerto Rico.


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Hollie Davis
Phone: (678) 313-7256; E-mail: