Features:
*Made of superb materials,
*High electromagnetic frequency: The electromagnetic frequency of the generator is 150MHz, and high-efficiency gentle bulbs would be lit without strength supply
* ABS housing: The ABS shell of the pulse generator has best flame retardant and insulation, so that you don&;t have to fear about security
*Easy charging: 3 holes are charged separately, and every gap takes about half-hour to fee When the indicator of the charger is grew to become off, it means it is completely charged
*Easy to operate: When the software is close to the light-emitting tube a part of the lamp, the sunshine will turn on, indicating that the tool is sweet and relevant exams would be applied
*Wide differ of uses: High-frequency solid magnetic turbines can be used in digital factories, laboratories, electronic study and development and other factories to test the anti-interference check of electronic motherboard experiments
Specifications:
Project Type: Electromagnetic Pulse Generator (single frequency)
Material: ABS
Frequency: 150MHz
Operating voltage: DC37
Operating current: 6A
Operating power: 120W
Antenna mode: Built-in bolstered antenna and external high-frequency antenna
Power adapter output voltage: DC37
Power adapter input voltage: 110-240VAC
Battery: 306090 1 x 3 2250mAh lithium battery (built-in)
Size: 85X50X21mm
Package Included:
1*Pulse generator
1*Power adapter
1*black coil
1*copper shade coil
1*spare transistor
Precautions:
1 The device needs to be charged with a committed charger
2 Do no longer touch the metal transmitter during You might burn your palms
3 The charging time of the device is about quarter-hour whenever
four Continue for approximately 5 seconds It is usually recommended to pause for 1-2 seconds to permit the chip to chill down and maintain common use
Note:
1 The genuine colour of the article could also be barely different from the images shown on website caused by many factors corresponding to brightness of your monitor and light brightness
2 Please enable slight guide measurement deviation for the data