ABB to realign around digital industries
Four divisions focus on robotics, electrification, industrial automation, and motion.
Shifting safety to a profit center
Cost avoidance, better networks make better financial sense.
NFPA 70E standard changes to reduce electrical incidents
Changes to the NFPA 70E standard will provide a better way to define risk assessment for energized work and reduce potential electrical incidents for workers.
Four challenges for aerospace robots
The aerospace industry is a tough, exacting industry. Robot users and integrators face challenges such as increased human-robot collaboration and the constant demand for precision and efficiency.
Wireless alarms for facility showers are crucial to plant safety
Wireless alarms for facility showers can help workers provide quicker first aid to a worker if they have been injured in a remote area or late at night.
A new-age approach to traditional manufacturing issues
The Global Automation and Manufacturing Summit (GAMS) event at IMTS 2018 highlighted the opportunities and pitfalls of the digital age with a focus on maintenance, the Industrial Internet of Things (IIoT), robotics, and cybersecurity in an information-rich age.
OSHA and energy control
Be especially careful with the minor servicing exception in the Lockout/Tagout standard from OSHA. Certain kinds of “minor” activities that occur during normal production operations may not be covered by LOTO (but are covered under other OSHA standard provisions) and other “minor” activities are covered by LOTO; do you know which?
Training provides tips on power, VFDs, standards
Engineering education can help with motors, drives, and lightning control in industrial and commercial applications in retrofit and with new designs. See five misconceptions in applying motor controls.
Industrial robotic safety risk assessment tips
Assessing safety risks from industrial robots is important, but knowing where to start can be difficult, but the long-term benefits make it worthwhile.
Deep learning leading to second machine vision revolution
Deep learning machine vision software essentially allows machines to learn from data representations instead of task-specific algorithms, which could enhance capabilities on the plant floor far beyond what is currently possible.